- Corpora - ELRA lists

Deadline of July 15th approaching: Postdoc in NLP at UCSC
by Marilyn Walker 11 Jul '22

11 Jul '22

Dear Colleagues, Will you post this to your network, your PhD students and other potentially interested parties? Letters are not initially required with the application. Thanks Lyn ------- The Natural Language Processing Program (nlp.ucsc.edu) in the Computer Science and Engineering Department at the University of California, Santa Cruz (UCSC) invites applications for the Natural Language Processing Postdoctoral Researcher, under the direction of Professor Marilyn Walker. We seek outstanding applicants with research expertise in all areas of Natural Language Processing (NLP). The NLP Postdoctoral Researcher will be expected to contribute to the research and teaching profile of the NLP group. We also expect the successful candidate to support graduate students and other Postdoctoral Scholars as a peer Feel free to contact me at nlp(a)ucsc.edu with any questions. Applications are open now, full consideration will be given to applications submitted by July 15th, 2022 for a start date of September 1st. For details, and to apply, go here: https://recr <https://recruit.ucsc.edu/JPF01330>uit.ucsc.edu/JPF01330 <https://recruit.ucsc.edu/JPF01330> -- Professor Marilyn Walker Fellow of the Association for Computational Linguistics Program Director, NLP MS Program, https://nlp.ucsc.edu/ Natural Language and Dialogue Systems Lab Department of Computer Science and Engineering Baskin School of Engineering University of California Santa Cruz users.soe.ucsc.edu/~maw -- Professor Marilyn Walker Fellow of the Association for Computational Linguistics Program Director, NLP MS Program, https://nlp.ucsc.edu/ Natural Language and Dialogue Systems Lab Department of Computer Science and Engineering Baskin School of Engineering University of California Santa Cruz users.soe.ucsc.edu/~maw

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[Jobs] Postdoc Positions (UCD Dublin, Ireland): NLP for Legal & Regulatory Text Analysis Mailing Lists/SIGIR
by David Lillis 11 Jul '22

11 Jul '22

CeADAR (Ireland's Centre for Applied AI: https://ceadar.ie) at the UCD School of Computer Science (https://ucd.ie/cs/) is seeking to appoint postdoctoral researchers at any level of experience until *September 2023* to work on the TRANSPIRE project in *Dublin, Ireland*. You will perform novel research on Machine Learning, AI and Natural Language Processing for legal and regulatory texts. The key research focus of the project relates to analysis, classification and knowledge extraction for these texts in a transparent way. As such, a core priority will be a body of research on explainable and/or interpretable models for legal text analysis. TRANSPIRE is funded under the Disruptive Technologies Innovation Fund (DTIF) and is a collaboration with two industry partners: Corlytics ( https://corlytics.com) and Version 1 (https://version1.com). As such, a core feature of the project is to work closely with domain experts who will both inform the research and contribute domain expertise towards training the models. Candidates should have research experience in one or more of Natural Language Processing, Computational Linguistics, Information Retrieval, Text Analytics (including the use of Machine Learning, Deep Learning and/or Explainable AI for textual data). For application details and salary scales please see: - *Research Fellow* (≥4 years postdoctoral research experience): click here <https://my.corehr.com/pls/ucdrecruit/erq_search_version_4.start_search_with…> (or visit https://www.ucd.ie/workatucd/jobs/ and search for job reference 014723) - *Postdoctoral Researcher* (<4 years postdoctoral research experience) click here <https://my.corehr.com/pls/ucdrecruit/erq_search_version_4.start_search_with…> (or visit https://www.ucd.ie/workatucd/jobs/ and search for job reference 014722) Please note that due to institutional rules, if you wish to be considered for both positions you will need to apply for both separately. The closing date for applications is *Friday July 15th 2022*. For informal enquiries about these roles, please contact david.lillis(a)ucd.ie Feel free to forward this to talented researchers in your network who may be interested.

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Program 29th International Conference on Head-Driven Phrase Structure Grammar
by Elodie Winckel 11 Jul '22

11 Jul '22

Dear colleagues, We cordially invite you to the 29th International Conference on Head-Driven Phrase Structure Grammar (July 29-30, 2022), as well as the Workshop on Computational Linguistics on East Asian Languages (July 31, 2022). The conference and the workshop will be held online. The program is available on the conference website, where you will also find registration information: https://hpsg2022.github.io/program.html Please note that the times are given in Japan Standard Time (in order to transcribe them into your local time: https://savvytime.com/converter/jst). In order to allow the widest possible exchange between participants spread all over the world, the regular presentations will be pre-recorded and only the discussion sessions will take place in real time (on Zoom). The invited talks will take place in real time. The videos of the regular presentations will be available on a Discord server. When you register, you will receive a message that contains an invitation link to the server, as well as the Zoom session URLs. Registration to the conference is free of charge. We look forward to meeting you all for exciting discussions. Elodie Winckel (Program Committee Chair, hpsg22(a)easychair.org).

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3-year PhD position at UNED (Spain)
by JORGE AMANDO CARRILLO DE ALBORNOZ CUADRADO 11 Jul '22

11 Jul '22

Madrid – 3-year PhD position The UNED IR & NLP group has an open 3-year PhD position. The successful candidate is expected to work on the CLARA: artifiCial inteLligence observAtory foR spAnish, that has the aim of measuring the gap in Artificial Intelligence between English and Spanish. The project focuses on monitoring the comparative state of the art of Natural Language Processing in English and Spanish, as well as quantifying the comparative adoption and use of Artificial Intelligence solutions in English and Spanish by citizens and organizations. As part of this team, the candidate will research in evaluation metrics and frameworks. Also, the candidate will collaborate in the design and development of the evaluation framework EvALL 2.0 (see EvALL 1.0 at www.evall.uned.es<http://www.evall.uned.es>), an online evaluation service for Artificial Intelligence systems. * Candidate profiles * * Academic background (university degree, preferably master) in computer science or related discipline. * Experience developing Python applications. * Excellent programming skills. * Collaborative work skills. * Fluent in English (knowledge of Spanish is a plus). * Terms and conditions * Location: NLP&IR UNED, Madrid, Spain Duration: 3 years (1+1+1) Salary: 30.000 € Context: CLARA: artifiCial inteLligence observAtory foR spAnish * Application * Please send an email to julio(a)lsi.uned.es and jcalbornoz(a)lsi.uned.es<mailto:jcalbornoz@lsi.uned.es> titled “Programador de Django y Python” and include CV, names of two references and a brief motivation letter stating your interests and past experience The position is open until filled. More details in the official call: https://www2.uned.es/bici/Curso2021-2022/220404/24-1.htm#9.-_____ * More about us * The UNED NLP & IR group is a leading research group (of around 30 members) in the areas of Natural Language Processing and Information Retrieval. See nlp.uned.es for details. AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Departamento de Política Jurídica de Seguridad de la Información<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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Postdoctoral Researcher opening at UT Austin
by Matt Lease 11 Jul '22

11 Jul '22

URL for this advertisement: <http://tiny.cc/postdocs> http://tiny.cc/ut-postdoc ------------------------------ Prof. Matt Lease <http://www.ischool.utexas.edu/~ml> is seeking a Postdoctoral Research Fellow to join his research lab <http://ir.ischool.utexas.edu/> at the University of Texas at Austin (UT Austin), USA. Applications will be reviewed as they are received, and the position will remain open until filled. Work Location. The candidate is expected to relocate to Austin, TX <https://www.ischool.utexas.edu/about/about-austin> (USA) for this position. Innovation and research come to life in Austin, known for its mix of culture and technology. Duration and Compensation. This postdoctoral position, with flexible start date, provides an initial year of support that is renewable for up to two additional years. Typically postdocs remain for multiple years unless they obtain a faculty position sooner. The salary will be $60,000 per year, plus a standard package of benefits. Responsibilities. The Fellow will be expected to pursue individual research and collaborative research projects: designing studies, collecting and analyzing data, disseminating findings, mentoring student researchers, attending regular meetings, and performing project administration. This position will be a 40 hour/week research appointment, with no obligation to teach, although teaching opportunities may be available if desired. About the Research. Our research spans Human Computation and crowdsourcing, Information Retrieval (IR), and Natural Language Processing (NLP). Our lab does both back-end artificial intelligence (AI) modeling and front-end human-computer interaction (HCI). We build and test predictive models, design ways to better annotate labeled data, and explore human-in-the-loop approaches for human-AI teaming. We think about building fair and transparent AI: e.g., how to build explainable AI systems that facilitate effective human-AI teaming, and how to annotate data in ways that mitigate AI bias. We conduct fundamental research and apply it to real-world problems, such as fighting fake news <https://sites.google.com/view/ut-misinformation-ai/> and hate speech. See our recent publications <https://www.ischool.utexas.edu/~ml/publications/> and talks <https://youtube.com/playlist?list=PLV4pUk6bTwEYCy8w_syoVFL-gYd6s4frL> in top conferences such as AAAI, ACL, AIES, CHI, CSCW, HCOMP, KDD, NeurIPS, and the Web Conference. Example research includes: - Annotation agreement and aggregation: WebConf’20 <https://www.ischool.utexas.edu/~ml/papers/braylan_web2020.pdf>, KDD’21 <https://utexas.box.com/v/braylan-kdd21>, WebConf’22 <https://utexas.box.com/v/braylan-webconf22> - Crowdsourcing task design: JAIR’20 <https://www.ischool.utexas.edu/~ml/papers/kutlu_jair20.pdf> (award), CSCW’21 <https://dl.acm.org/doi/10.1145/3476073ible-gold-can-help>, Frontiers’22 <https://www.frontiersin.org/articles/10.3389/frai.2022.828187/full> - Explainable fact-checking: AAAI’18 <https://www.ischool.utexas.edu/~ml/papers/nguyen-aaai18.pdf>, UIST’18 <https://www.ischool.utexas.edu/~ml/papers/nguyen-uist18.pdf>, CHIIR’22 <https://utexas.box.com/v/shi-chiir2022>, ACL’22 <http://x> - Hate speech detection: NeurIPS’21 <https://utexas.box.com/v/rahman-neurips21>, iConference’22 <https://utexas.box.com/v/prateek-iconf22> - Human-AI teaming: AIES’21 <https://dl.acm.org/doi/abs/10.1145/3461702.3462516>, ICJAI’21 <https://utexas.box.com/v/gao-ijcai2021> - Information Retrieval Evaluation: CIKM’18 <https://www.ischool.utexas.edu/~ml/papers/kutlu-cikm18.pdf>, SIGIR’18 <https://www.ischool.utexas.edu/~ml/papers/kutlu-sigir18.pdf>, ECIR’19 <https://www.ischool.utexas.edu/~ml/papers/gupta-ecir19.pdf> (award), ICTIR’20 <https://www.ischool.utexas.edu/~ml/papers/rahman-ictir20.pdf> - Multi-objective optimization: ICTIR’21 <https://utexas.box.com/v/gupta-ictir21>, UAI’22 <https://utexas.box.com/v/gupta-uai2022> - Supporting content moderators: HCOMP’20 <https://www.ischool.utexas.edu/~ml/papers/das_hcomp20.pdf>, CHI’21 <https://www.ischool.utexas.edu/~ml/papers/steiger-chi21.pdf> About UT Austin <http://www.utexas.edu/about/overview>. UT Austin is a nationally ranked, tier-one research institution. The university offers competitive salaries and benefits, an extensive support network, and above all, an enriching and highly collaborative community. Our Information School <https://www.ischool.utexas.edu/> (iSchool) is top-ranked <https://www.ischool.utexas.edu/news/texas-ischool-remains-top-tier-us-news-…>, and UT Austin has fantastic opportunities across campus in Computing Research <http://computing.utexas.edu/research>, such as our interdisciplinary Machine Learning Lab <https://ml.utexas.edu/> (including a NSF National Artificial Intelligence Research Institute <https://beta.nsf.gov/funding/opportunities/national-artificial-intelligence…>, the IFML <https://ifml.institute/>). Our university also boasts one of the world’s largest supercomputers <https://www.tacc.utexas.edu/> to facilitate compute intensive research (e.g., with clusters of large memory GPUs). Last but not least, the selected postdoc will have the opportunity to engage with researchers across campus in Good Systems <http://goodsystems.utexas.edu/>, an eight-year, Grand Challenge at UT Austin to design responsible AI technologies. About Austin, TX. Austin is one of the USA's sunniest and most vibrant cities in which to live and work. Our large and growing high-tech hub has further earned it the moniker of being the USA's "Silicon Hills <https://en.wikipedia.org/wiki/Silicon_Hills>". See https://www.austintexas.org/things-to-do/ How to Apply. Please email Matt Lease (ml(a)utexas.edu) with the subject "postdoc application”. Your email should: - Provide a current curriculum vitae (URL is fine) - Describe your interest and fit for the position - Describe one or more research projects or areas you would like to pursue. A formal Research Statement document is not required but welcome if available. Interviews will be conducted remotely via zoom, and candidates will be expected to present their research as part of the interview process. About the Faculty Supervisor. Matt Lease <http://www.ischool.utexas.edu/~ml> is a faculty member in the School of Information, with a secondary appointment in Computer Science <https://www.cs.utexas.edu/people/faculty-researchers/matthew-lease>. Lease is also an Amazon Scholar <https://www.amazon.science/scholars> in AWS’s Human-in-the-loop science team. Lease received early career awards from the NSF, IMLS, and DARPA. Recent honors include JAIR’s Award Winning Papers Track (2020), Best Student Paper at the European Conference for Information Retrieval (2019), and Best Paper at the Association for the Advancement of Artificial Intelligence (AAAI) Human Computation and Crowdsourcing conference (2016). Lease is a faculty founder and leader of Good Systems <http://goodsystems.utexas.edu>, an eight-year, university-wide Grand Challenge at UT Austin to design responsible AI technologies. Equal opportunity employment. The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions. -- Matt Lease Associate Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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Deadline extension: the 9th Argument Mining workshop
by Gabriella Lapesa 11 Jul '22

11 Jul '22

The 9th Argument Mining Workshop Special Theme: Argument Mining in Real-World Applications Shared task: Automated Assessment of Argument Validity and Novelty https://phhei.github.io/ArgsValidNovel/ ############################################################### NEWS WITH RESPECT TO THE PREVIOUS CFP: Extended deadline: July 18th 2022 Invited talk: Hans Hoeken (University of Utrecht), “Mining for Persuasive Ingredients: What’s the Right Mix?” Panel on applications of Argument Mining: - Legal: Laura Alonso Alemany (University of Cordoba) - Finance: Chung-Chi Chen (AIST) - Education: Beata Beigman Klebanov (ETS) - E-governance: Joonsuk Park (University of Richmond) - Business: Michael Yeomans (Imperial College London) Workshop date: October 17 ################################################################## Location: In conjunction with COLING 2022 in Gyeongju, Republic of Korea - in a hybrid format Webpage: https://argmining-org.github.io/2022/ Contact: argmining.org(a)gmail.com <mailto:argmining.org@gmail.com> Date: October 17 Final Call for Papers - Deadline extension (apologies for cross-posting) Argument mining (also known as "argumentation mining") is a growing research area within computational linguistics. At its heart, argument mining involves the automatic identification of argumentative structures in free text, such as the conclusions, premises, and inference schemes of arguments, as well as their pro- and con-relations. To date, researchers have investigated argument mining in many genres, such as legal documents, product reviews, news articles, online debates, Wikipedia articles, essays, academic literature, tweets, and dialogues. In addition, argument quality assessment and generation are also important problems. Argument mining gives rise to various practical applications of great importance. In particular, it provides methods that can find and visualize the main pro and con arguments in written text and dialogue and that enable argument search on the web for a topic of interest. In educational contexts, argument mining can be applied to written and diagrammed arguments for instructing and assessing students' critical thinking. In information retrieval, argument mining is expected to play a salient role in the emerging field of conversational search. We are looking for diverse research work on argument mining in real-world applications from various domains. Real-world applications include argument analysis in education, finance, law, public policy, and other social sciences, argument web search, opinion analysis in customer reviews, argument analysis in meetings, and scientific writing. CALL FOR PAPERS ArgMining 2022 invites the submission of long and short papers on substantial, original, and unpublished research in all aspects of argument mining. The workshop solicits LONG and SHORT papers for oral and poster presentations, as well as DEMOS of argument mining systems and tools. The topics for submissions include but are not limited to: • Automatic identification of argument components (premises and conclusions or more fine-grained), and relations between arguments and counterarguments (support and attack or more fine-grained) within/across documents • Automatic assessment of properties of arguments and argumentation, such as argumentation schemes, stance, quality, and persuasiveness • Automatic synthesis of arguments and their components, including the consideration of discourse goals (e.g., stages of a critical discussion or rhetorical strategies) and the possibly needed preceding analyses • Creation and evaluation of argument annotation schemes, relationships to linguistic and discourse annotations, (semi-) automatic argument annotation methods and tools, and creation of argumentation corpora • Management of spoken and transcribed dialogue, argument mining from such data, including additional challenges posed by real-time processing • Combination of NLP methods and AI models developed for argumentation, such as abstract and structured argumentation frameworks • Combination of information retrieval methods with argument mining, e.g. in order to build the next generation of argumentative (web) search engines • Use of argument mining for studying research questions from education, finance, law, public policy, digital humanities, and any other social sciences • Reflection on the ethical aspects and societal impact of argument mining methods Submission Information Three types of papers can be submitted: Long papers (8 pages + references), short papers (4 pages + references), and demo papers (4 pages + references). Demo papers must include a URL to a running demo. Accepted papers will be given an additional page to account for the reviewers' comments. All papers will be treated equally in the workshop proceedings. The workshop follows ACL’s policies for submission, review, and citation. Moreover, authors are expected to adhere to the ethical code set out in the ACL Code of Ethics. Submissions that violate any of the policies will be rejected without review. Please use the COLING 2022 style sheets for formatting your paper: https://coling2022.org/ Submission URL: https://www.softconf.com/coling2022/AM_2022 The workshop is running a double-blind review process. In preparing your manuscript, do not include any information which could reveal your identity, or that of your co-authors. The title section of your manuscript should not contain any author names, email addresses, or affiliation status. If you do include any author names on the title page, your submission will be automatically rejected. In the body of your submission, you should eliminate all direct references to your own previous work. That is, avoid phrases such as "this contribution generalizes our results for XYZ". Also, please do not disproportionately cite your own previous work. In other words, make your submission as anonymous as possible. We need your cooperation in our effort to maintain a fair, double-blind reviewing process - and to consider all submissions equally. Double Submission Papers that have been or will be submitted to other venues should indicate this at submission time. Upon acceptance at either event, the submission must be withdrawn from the other. To save reviewers' efforts, avoid submitting (or withdraw early) papers that are on track to be accepted elsewhere. Important Dates • Submission due: July 18, 2022 • Notification of acceptance: August 25, 2021 • Camera-ready papers due: September 5, 2022 • Workshop: TBD: COLING 2022 October 12-17, 2022 All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”). ORGANIZERS Gabriella Lapesa (University of Stuttgart) Jodi Schneider (University of Illinois Urbana-Champaign) Yohan Jo (Amazon) Sougata Saha (University at Buffalo, New York) SHARED TASK: AUTOMATED ASSESSMENT OF ARGUMENT VALIDITY AND NOVELTY Organizers: Philipp Heinisch, Philipp Cimiano (University of Bielefeld), Anette Frank, and Juri Opitz (University of Heidelberg) Webpage: https://phhei.github.io/ArgsValidNovel/ Brief description In recent years, there have been increased interests in understanding how to assess the quality of arguments systematically. To foster more research on this topic in the community, we plan to organize a task consisting of assessing whether computational models can reliably assess the validity and novelty of a conclusion given a set of the textual premises. Tasks Participants can choose either Task A or Task B, or both. Task A: The first task consists of a binary classification task along the dimensions of novelty and validity, classifying a conclusion as being valid/novel or not given a textual premise. Task B: The second subtask will consist in comparing two conclusions in terms of validity / novelty.

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2nd Call for Papers - CODI 2021: 2nd Workshop on Computational Approaches to Discourse
by Chloé Braud 09 Jul '22

09 Jul '22

2nd Call for Papers - CODI 2021: 2nd Workshop on Computational Approaches to Discourse https://sites.google.com/view/codi-2021 Held in conjunction with EMNLP 2021 November 10-11, 2021 Update: Note that we accept double submissions, see the dedicated section below. Important information: The CODI workshop organization should be hybrid, following the EMNLP program chairs’ decision: “EMNLP 2021 is currently officially scheduled to be held in hybrid mode, online and in Punta Cana, in the Dominican Republic. ”. The 2-days workshop will take place on November 10 and 11. **Aims and scope** The last five years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse problems as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few. At this juncture, we envision that a workshop that brings together discourse experts and upcoming researchers will catalyze the speed and knowledge needed to solve such problems, as well as serve as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse parsing and treebanking (DisRPT) and coreference (CORBON/ CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The Workshop on Computational Approaches to Discourse (CODI) brings together researchers interested in all aspects of discourse and its computational modeling. The first CODI workshop was held at EMNLP 2020 and showcased diverse discourse research (see the papers presented: https://codi-workshop.github.io/accepted-papers/). This year, the workshop will also host two shared tasks: - CODI-CRAC - Anaphora Resolution in Dialogues: https://competitions.codalab.org/competitions/30312 - CODI-DISRPT2021- Discourse Relation Parsing and Treebanking: https://sites.google.com/georgetown.edu/disrpt2021 Please visit the corresponding websites for more information. **Topics of interest** We welcome symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to:- discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing **Submissions** We solicit four categories of papers: (1) regular workshop papers, (2) demos, (3) extended abstracts and (4) shared tasks papers. Only regular workshop papers, shared task papers and demos will be included in the proceedings as archival publications. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can have up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Accepted long, short, and demo papers will be presented orally. Extended abstracts can describe work in progress or those already published elsewhere. These may be two pages long (without references). Extended abstracts are non-archival. They will be presented orally, and included in the workshop program and handbook, but will not appear in the workshop proceedings. For shared task papers, please refer to the corresponding websites:- CODI-CRAC: https://competitions.codalab.org/competitions/30312#learn_the_details-overv… - CODI-DISRPT2021: https://sites.google.com/georgetown.edu/disrpt2021/submission?authuser=0 Shared task papers will be presented during the dedicated sessions, either orally or as posters. They will be included in the workshop proceedings. Final versions of all types of papers will be given one additional page of content. **Double submission** We allow for double submissions. Please indicate during submission to which other conference or workshop your work has been submitted. We may also invite authors of papers accepted to the conferences (e.g. EMNLP, ACL) including Findings to present their work at the workshop. Please indicate whether your paper has been accepted to e.g. ACL during submission, or let us know by email that your paper has been accepted elsewhere (including Findings) upon notification. These papers will not be part of the proceedings of the workshop. **Submission website** All submissions must follow the EMNLP 2020 formatting instructions described here: https://2021.emnlp.org/call-for-papers/style-and-formatting Please submit your papers using the link indicated on our website. **Important dates** * 18 May, 2021: 1st Call for Workshop Papers * 15 June, 2021: 2nd Call for Workshop Papers * 5 July, 2021: Anonymity period starts * 15 July, 2021: 3rd Second Call for Papers * 5 Aug, 2021: Workshop Papers Due (long, short, demo, extended abstracts) * 5 Sept, 2021: Notification of Acceptance * 15 Sept, 2021: Camera-ready papers due * Nov 10-11, 2021: Workshop Date Please check the dedicated websites to get information about the deadlines for the two shared tasks. All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”).

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CfP (updated deadline): 16th Workshop on Graph-Based Natural Language Processing (TextGraphs-16)
by Alexander Panchenko 09 Jul '22

09 Jul '22

Venue: COLING 2022 Location: Gyeongju, Republic of Korea Date: October 16, 2022 Papers Due: July 17, 2022 (Sunday) Website: https://sites.google.com/view/textgraphs2022 Workshop Description For the past sixteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. The sixteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) integration and joint training and use of transformer-based models for graphs and text (such as Graph-BERT and BERT), and (2) domain-specific natural language inference. Related to the former point, we would like to advance the state-of-the-art natural language understanding facilitated with large-scale language models like GPT-3 and linguistic relationships represented by graph neural networks. Related to the latter point, we are interested in addressing a challenging task contributing to mathematical proof discovery. Furthermore, we also encourage research on applications of graph-based methods in knowledge graphs to link them to related NLP problems and applications. TextGraphs-16 invites submissions on (but not limited to) the following topics: - Graph-based and graph-supported machine learning methods: Graph embeddings and their combinations with text embeddings; Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks); Probabilistic graphical models and structure learning methods - Graph-based methods for Information Retrieval and Extraction: Graph-based methods for word sense disambiguation; Graph-based strategies for semantic relation identification; Encoding semantic distances in graphs; Graph-based techniques for text summarization, simplification, and paraphrasing; Graph-based techniques for document navigation and visualization - New graph-based methods for NLP applications: Random walk methods in graphs; Semi-supervised graph-based methods - Graph-based methods for applications on social networks - Graph-based methods for NLP and Semantic Web: Representation learning methods for knowledge graphs; Using graphs-based methods to populate ontologies using textual data Important dates - Papers Due: July 17, 2022 (Sunday) - Notification of Acceptance: August 28, 2022 (Sunday) - Camera-ready papers due: September 11, 2022 (Sunday) - Conference date: October 16, 2022 Submission - We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. - The COLING 2022 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Download the Word and LaTeX templates here: https://coling2022.org/Cpapers. - Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site: https://www.softconf.com/coling2022/TextGraphs-16/ Shared Task We invite participation in the 1st Shared Task on Natural Language Premise Selection associated with the 16th Workshop on Graph-Based Natural Language Processing (TextGraphs 2022). The task proposed this year is the Natural Language Premise Selection (NLPS) (Ferreira et al., 2020a), inspired by the field of automated theorem proving. The task of NLPS takes as input a mathematical statement, written in natural language, and outputs a set of relevant sentences (premises) that could support an end-user finding a proof for that mathematical statement. The premises are composed of supporting definitions and propositions that can act as explanations for the proof process: https://codalab.lisn.upsaclay.fr/competitions/5692 Contact Please direct all questions and inquiries to our official e-mail address ( textgraphsOC(a)gmail.com) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369. Organizers - Dmitry Ustalov, Yandex - Yanjun Gao, University of Wisconsin-Madison - Abhik Jana, University of Hamburg - Thein Huu Nguyen, University of Oregon - Gerald Penn, University of Toronto - Arti Ramesh, ETS AI Labs - Alexander Panchenko, Skolkovo Institute of Science and Technology - Mokanarangan Thayaparan, University of Manchester & Idiap Research Institute - Marco Valentino, University of Manchester & Idiap Research Institute

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The first workshop on Transcript Understanding at COLING 2022
by Viet Lai 09 Jul '22

09 Jul '22

Call for Paper: 1st workshop on Transcript Understanding Venue: COLING 2022 Location: Gyeongju, Republic of Korea Submission deadline: July 25, 2022 Submission Site: https://www.softconf.com/coling2022/TU Workshop Website: https://tuworkshop.github.io Overview: Videos have become an omnipresent source of knowledge: courses, presentations, conferences, documentaries, livestreams, meeting recordings, vlogs. This has created a strong demand for transcript understanding. However, the quality of audio and video content shared online and the nature of speech, video transcripts pose many challenges to the existing natural language processing technologies. At the First workshop on Transcript Understanding (TU@COLING2022), we aim to bring together researchers from various domains to make the best of the knowledge that all these videos contain. Researchers from related domains are invited to paper on recent advanced technologies, resources, tools, and challenges for Transcript Understanding. Topics: The TU workshop holds a research track and a shared task track. The research track aims to explore recent advances and remaining challenges on video transcript understanding. As this topic is a multi-modal subject, researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, and other fields are invited to submit papers on recent advances, resources, tools, challenges for video transcript understanding. To this end, the topics of the workshop include but are not limited to the following: - Fundamental processing for video transcript, such as punctuation restoration, chunking, parsing, and named entity recognition. - Subtitle segmentation - Text summarization and keyword extraction for transcripts - Event extraction, intent detection, and slot filling - Sentiment analysis for speech text processing - Noisy text processing - Fact-checking, evidence extraction - Question-Answering extraction from transcripts - Automatic Speech Recognition, and related system such as speaker identification and filler word detection - Multi-modal, multilingual video-speech-text processing Important Dates Papers Due: July 25, 2022 (Monday) Notification of Acceptance: August 22, 2022 (Monday) Camera-ready papers due: September 5, 2022 (Monday) Workshop proceedings due: September 19, 2022 (Monday) Workshop date: October 17, 2022 All deadlines are “anywhere on earth” (UTC-12) Submissions: Authors are invited to submit their unpublished work that represents novel research. The papers should be written in English using the *ACL style. Authors can also submit the supplementary materials, including technical appendices, source codes, datasets, and multimedia appendices. All submissions, including the main paper and its supplementary materials, should be fully anonymized. For more information on formatting and anonymity guidelines, please refer to COLING 2022 submission guidelines. TU accepts both long papers (8 pages) and short papers (4 pages). The paper can include unlimited appendix and references. Upon the acceptance, the authors are provided with 1 more page to address the reviewer comments. All papers will be double blind peer reviewed. Two reviewers with the same technical expertise will review each paper. Authors of the accepted papers will present their work in either the Oral or Poster session. All accepted papers will appear on the workshop proceedings that will be published on CEUR-WS. The authors will keep the copyright of their papers that are published on CEUR-WS. The workshop proceedings will be indexed by DBLP. Both research paper and shared task paper must be submitted using SoftConf at https://www.softconf.com/coling2022/TU/. We look forward to seeing you all at the virtual conference. TU@COLING2022 Organizers: Franck Dernoncourt (Adobe Research, USA) Thien Huu Nguyen (University of Oregon, USA) Viet Dac Lai (University of Oregon, USA) Amir Pouran Ben Veyseh (University of Oregon, USA)

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FigLang 2022 (co-located with EMNLP 2022): Shared Task on Euphemism Detection
by Anna Feldman 08 Jul '22

08 Jul '22

https://sites.google.com/view/figlang2022/shared-tasks?authuser=0 Euphemism Detection Shared Task Euphemisms are mild or indirect expressions used in place of harsher or more offensive ones. Euphemisms are often used to mask profanity or refer to taboo topics such as death, disability, sex, religion or personal relationships in a polite way. Euphemisms are often ambiguous: their literal and non-literal interpretation is context-dependent: Asked to choose *between jobs* and the environment, a majority -- at least in our warped, first-past-the-post system -- will pick jobs. [non-euphemistic] vs. This summer, the budding talent agent was *between jobs* and free to babysit pretty much any time. [euphemistic] The state of the art language models perform well on many major NLP benchmarks; however, it is unclear how such models perform on euphemisms. Thus, we propose a euphemism detection task: given an input sentence, identify whether the sentence contains a euphemism. For more information about the shared task and to participate visit https://codalab.lisn.upsaclay.fr/competitions/5726 <https://www.google.com/url?q=https%3A%2F%2Fnam10.safelinks.protection.outlo…> . *Important dates:* - July 5, 2022: CodaLab competition is open; training data can be downloaded - Aug 5, 2022: Test data can be downloaded and results submitted; performance will be tracked on CodaLab dashboard - Aug 20, 2022: Last day for submitting predictions on test data - Sept 7, 2022: Papers describing the systems are due - Oct 9, 2022: Notification of acceptance - TBD, 2022: Camera-ready papers due - December 7 or 8, 2022: Workshop -- ********************************************** Anna Feldman, Ph.D. Professor of Linguistics and Computer Science Graduate Program Coordinator & Chair of Linguistics Montclair State University http://www.purl.org/net/fa <http://www.purl.org/NET/fa>

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FigLang2022 Shared Task on “Understanding Figurative Language” (competition opens July 10, 2022)
by Smaranda Muresan 08 Jul '22

08 Jul '22

Shared Task on Understanding Figurative Language at FigLang2022 We are happy to announce a new shared task on Understanding Figurative Language as part of the Figurative Language Workshop (FigLang 2022) at EMNLP 2022. In recent years, there have been several benchmarks dedicated to figurative language understanding, which generally frame "understanding" as a recognizing textual entailment task -- deciding whether one sentence (premise) entails/contradicts another (hypothesis) (Chakrabarty et al 2021, Stowe et al 2022). We introduce a new shared task for figurative language understanding around this textual entailment paradigm, where the hypothesis is a sentence containing the figurative language expression (e.g., metaphor, sarcasm, idiom, simile) and the premise is a literal sentence containing the literal meaning. There are two important aspects of this task: 1) the task requires not only to generate the label (entail/contradict) but also to generate a plausible explanation for the prediction; 2) the entail/contradict label and the exploration are related to the meaning of the figurative language expression. For more information about the shared task, including the link to the datasets, evaluation metrics and scripts important dates please visit the Shared task website (https://figlang2022sharedtask.github.io/). Participants can use the following CodaLab ( https://codalab.lisn.upsaclay.fr/competitions/5908) link to participate in the task as well as submit the predictions. Important dates: · July 10, 2022: CodaLab competition is open; training data can be downloaded · Aug 15, 2022: Test data (available only to registered participants) can be downloaded and results submitted; performance will be tracked on CodaLab dashboard · Aug 20, 2022: Last day for submitting predictions on test data · Sept 7, 2022: Papers describing the systems are due · Oct 9, 2022: Notification of acceptance · TBD, 2022: Camera-ready papers due · December 8, 2022: Workshop at EMNLP 2022 Organizing Team Tuhin Chakrabarty, Columbia University; tuhin.chakr(a)cs.columbia.edu Arkadiy Saakyan, Columbia University; as5423(a)columbia.edu Debanjan Ghosh, Educational Testing Service; dghosh(a)ets.org Smaranda Muresan, Data Science Institute, Columbia University;smara(a)columbia.edu

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[CFP] Dialogue & Discourse journal: Fall 2022 Regular Issue
by Ryuichiro Higashinaka 07 Jul '22

07 Jul '22

Apologies for cross-posting It is our pleasure to announce the first call for submissions for the next issue of the journal Dialogue and Discourse. Submissions are invited on all topics in the formal, computational, or psycholinguistic study of dialogue and discourse. Submissions received by August 1, 2022 will be considered for the next regular issue. Later submissions will be slated for the next available issue. http://www.dialogue-and-discourse.org/cfps-current.shtml Dialogue and Discourse (D&D http://www.dialogue-and-discourse.org/) is the first peer-reviewed free open access journal dedicated exclusively to work that deals with language "beyond the sentence". The journal adopts an interdisciplinary perspective, accepting work from Linguistics, Computer Science, Psychology, Sociology, Philosophy, and other associated fields with an interest in formally, technically, empirically or experimentally rigorous approaches. Descriptive papers should make a substantial theoretical contribution to be considered. We are committed to ensuring the highest editorial standards and rigorous peer-review of all submissions, while granting open access to all interested readers. D&D has published regular issues every year since 2010, and occasionally special issues on common topics. As of June 2022, D&D has published 99 papers, and the journal's h-index is 26. D&D is endorsed by ACL SIGdial, ACL SemDial, and AMLaP. D&D is indexed by Scopus and the European Reference Index for the Humanities and Social Sciences. Submissions are made via the online submission system at http://www.dialogue-and-discourse.org/submission.shtml. Authors are required to indicate if a submission is an extended version of one or more previously published conference papers (to which we would expect substantial additions); simultaneous submission to another venue is prohibited. Submissions will undergo rigorous peer-review. Once accepted and finalized, papers will appear online immediately, as part of the current issue. Selected papers will furthermore be offered the opportunity to present a poster at the following SIGDIAL Conference. Dialogue and Discourse Editors Issue Editor: Ryuichiro Higashinaka (Volume 13, Issue 2) Junyi Jessy Li (Volume 13, Issue 1) Editor In Chief: Barbara Di Eugenio, University of Illinois at Chicago, United States Associate Editors: Vera Demberg, Saarland University, Germany Kallirroi Georgila, University of Southern California, United States Jonathan Ginzburg, Université Paris-Diderot (Paris 7), France Pat Healey, Queen Mary University London, United Kingdom Ryuichiro Higashinaka, Nagoya University, Japan Junyi Jessy Li, University of Texas at Austin, United States Massimo Poesio, Queen Mary University London, United Kingdom Manfred Stede, University of Potsdam, Germany David R. Traum, University of Southern California, United States Amir Zeldes, Georgetown University, United States Full editorial board at: http://www.dialogue-and-discourse.org/editors.shtml

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Announcement: Release of BabelNet 5.1
by Roberto Navigli 07 Jul '22

07 Jul '22

We are proud to announce the release of a new version of BabelNet <https://babelnet.org/> and its APIs, *both Java and the brand-new Python version*, developed jointly by the Sapienza NLP Group <http://nlp.uniroma1.it> of the *Sapienza University of Rome* under the supervision of prof. Roberto Navigli <https://www.diag.uniroma1.it/navigli/> and Babelscape <http://babelscape.com/>, *a successful deep-tech multilingual NLP Company* providing innovative solutions for multilingual NLP. BabelNet -- winner of the *prominent paper award 2017* from the Artificial Intelligence Journal and the META prize 2015, and covered in media such as The Guardian <https://www.theguardian.com/news/2018/feb/23/oxford-english-dictionary-can-…> and Time magazine <http://wwwusers.di.uniroma1.it/~navigli/img/Redefining_the_modern_dictionar…> -- is today’s *most far-reaching multilingual resource* which, according to need, can be used as an *encyclopedic dictionary*, or a *semantic network* or a huge *knowledge base/ontology*. It has been used by more than *1000 universities and research institutions*, enabling multilinguality in several fields of AI and NLP, such as semantic search, Word Sense Disambiguation, Semantic Role Labeling and image tagging. BabelNet was created by means of the seamless integration and interlinking of the largest multilingual Web encyclopedia - i.e., Wikipedia - with the most popular computational lexicon of English - i.e., WordNet, and other lexical resources such as Wiktionary, OmegaWiki, Wikidata, dozens of wordnets, Wikiquote, GeoNames, and ImageNet. BabelNet provides *multilingual synsets*, i.e., concepts and named entities lexicalized in many languages, and connected with large amounts of semantic relations. *Version 5.1* comes with the following features: - *500 languages* and *22 million synsets* covered; - *53 resources *linked and integrated; - *Wikipedia* and *Wikidata* updated thanks to *BabelNet live*; - *Open English WordNet* has been updated to version 2021; - Added *Q-codes* identifiers (e.g. https://www.hetop.eu/hetop/3CGP/?la=en&rr=CGP_QC_QD8); - Added *string tags *from *Wikipedia labels*; - *French wordnets cleaned up* by removing most potentially incorrect translations; - *Italian wordnet definitions *cleaned up; - *General data cleanup* (glosses, senses, Named Entity vs. concept labels); - *Lemma casing corrected in 24 languages* (English, Italian, Spanish, German, French, Dutch, Polish, Portuguese, Russian, Bulgarian, Czech, Danish, Greek, Estonian, Finnish, Croatian, Hungarian, Lithuanian, Latvian, Maltese, Romanian, Slovak, Slovenian, Swedish). More statistics are available at: babelnet.org/statistics. Kind regards, The BabelNet team -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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Online workshop for linguists: "Learning to use the Terminal"
by Mario Barcala 07 Jul '22

07 Jul '22

Dear corpora subscribers: At NLPgo (https://www.nlpgo.com) we are organizing an online workshop for linguists titled "Learning to use the Terminal", which may be of interest to you. > What is the Terminal? > It is the usual black or white background application available in any operating system which allows the users to run commands. It is also called the command interpreter. > What it is useful for? > It is useful for many different things, among them making different kinds of transformations on files and, therefore, it allows us to make some interesting corpus calculations, which would otherwise be very difficult to make. > Workshop content > 1. Preparation: installing the necessary tools and setup the working environment. > 2. Basic concepts: file and folder structure, file types, character encodings (types, differences and compatibility problems). > 3. Basic commands: show files available in a folder, change current folder, show file contents, copy and move files, column extraction and reordering, result sorting, etc. > 4. Advanced commands and transformations: standard input/output/error, command chaining, finding file names, text finding and replacing, applying commands to several files at a time. > 5. Regular expressions: advaced text search and replacement techniques > 6. Corpus specific tasks: Working with data from spreadsheets, texts (orthographic words) and Part-Of-Speech tagged texts (grammatical elements). More details about the workshop are available on our web page and, specifically, on the workshop specific one: https://www.nlpgo.com/teaching/terminal As you can see, it will be held from 18th to 22th of July (in Spanish language, Spain timezone). If you want to register in the workshop you can do it from the workshop web page I have included before. In addition, if you are interested in receiving information about this kind of workshop we organize and other useful information, you can subscribe to our newsletter here: hhttps://www.palabrasbinarias.com/subscribe. If you have any question don't hesitate to write us through the contact form available at the workshop web page. Thank you for you attention. Best regards, Mario Barcala -- Mario Barcala CEO at NLPgo http://www.nlpgo.com GPG key id: F1C15EB7

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PhD Position at University of Klagenfurt
by Wiegand, Michael 07 Jul '22

07 Jul '22

The University of Klagenfurt is pleased to announce the following open position at the Digital Age Research Center (D!ARC), employment to commence as soon as possible: *PreDoc Scientist (in German: Universitätsassistent*in) (Doctoral Candidate) (all genders welcome)* The Digital Age Research Center (D!ARC), founded in 2019 as an inter-faculty university centre, aims to shed light not only on the technological but also on the economic, legal, social, individual, behavioural and cultural aspects of the digital revolution. Over the next few years, it is set to develop a corresponding profile in research with a European claim to excellence as well as modules for the range of courses offered at the University of Klagenfurt. Level of employment: 75 % (30 hours/week) Minimum salary: € 32.116,-- per annum (gross); classification according to collective agreement: B1 Limited to: 4 years Application deadline: July 27, 2022 Reference code: 191/22 Tasks and responsibilities: • Contributing to research in a project in the area of computational linguistics and digital humanities • Participation in research activities of D!ARC, which offers unique opportunities for interdisciplinary collaboration • Teaching courses on computational linguistic topics Prerequisites for the appointment: • A Master’s degree completed at a domestic or foreign higher education institution in the field of computational linguistics, linguistics, computer science or alike, graded with success and corresponding knowledge in the field • Good programming skills (preferably Python) • Proven expertise in: • Natural language processing • Digital humanities • Linguistics • Machine learning (particularly deep learning) • Fluent in English and German, both spoken and written Additional desired qualifications: • Experience with web crawling and processing large amounts of textual data • Instructing and supervising linguistic annotation • Publications at scientific conferences and in journals in the field relating to the position • Profound knowledge of publicly available tools and resources for natural language processing • Experience in teaching at a university • Experience in working in interdisciplinary research projects • Social and communication skills, ability to work independently Our offer: The employment contract is concluded with a starting salary of € 2.294,-- gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the https://jobs.aau.at/en/faq/). The University of Klagenfurt also offers: • Personal and professional advanced training courses, management and career coaching • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ • Diversity- and family-friendly university culture • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports The application: If you are interested in this position, please apply in German or English providing the usual documents: • Letter of application • Curriculum vitae • Proof of all completed higher education programmes (certificates, supplements, if applicable) • Other documentary evidence that may be relevant to this announcement (see prerequisites and desired qualifications) The position is solely intended for the completion of a Doctorate. Applicants with a Doctorate or Ph.D. already completed in a related discipline are therefore ineligible for this position. To apply, please select the position with the reference code 191/22 in the category “Scientific Staff” using the link “Apply for this position” in the job portal at http://jobs.aau.at/en/ Candidates must furnish proof that they meet the required qualifications by July 27, 2022 at the latest. For further information on this specific vacancy, please contact Michael Wiegand (mailto:michael.wiegand@aau.at). General information about the university as an employer can be found at http://www.aau.at/jobs/en/information. At the University of Klagenfurt, recruitment and staff matters are accompanied not only by the authority responsible for the recruitment procedure but also by the Equal Opportunities Working Group (https://www.aau.at/en/university/organisation/representations-commissioners…) and, if necessary, by the Representative for Disabled Persons (https://www.aau.at/en/university/organisation/administration-and-management…).

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CoCo4MT Final CFP - The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
by Shabnam Tafreshi 07 Jul '22

07 Jul '22

!!!!!!!!!! The deadline for submission has been extended to July 20th !!!!!!!!!! Upload Submissions Now https://cmt3.research.microsoft.com/AMTA2022 The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) https://sites.google.com/view/coco4mt @ AMTA – 2022 This 15th biennial conference of the Association for Machine Translation in the Americas 12-16 September 2022, Orlando, Florida, USA INVITED TALKS Jörg Tiedemann University of Helsinki Julia Kreutzer Google Research Maria Nadejde Amazon SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT sets out to be the first workshop centered around research that focuses on corpora creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any spoken language (including high-resource languages) but we are specifically interested in those submissions that are on languages with limited existing resources (low-resource languages) where resources are not highly available. The goal of this workshop is to begin to close the gap between corpora available for low-resource translation systems and promote high-quality data for online systems that can be used by native speakers of low-resource languages is of particular interest. Therefore, It will be beneficial if the techniques presented in research papers include their impact on the quality of MT output and how they can be used in the real world. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that submissions will provide high-quality corpora that is available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. TOPICS We are highly interested in original research papers on the topics below; however, we welcome all novel ideas that cover research on corpora techniques. - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SUBMISSION INFORMATION There is one type of submission in the workshop: Research, review and position paper. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official AMTA 2022 style templates (PDF, LaTeX, Word). Accepted papers will be published on-line in the AMTA 2022 proceedings which includes the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be done using the official conference management system (https://cmt3.research.microsoft.com/AMTA2022). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES June 1, 2022 – Call for papers released June 15, 2022 – Second call for papers June 29, 2022 – Third and final call for papers July 20, 2022 – Paper submissions due (updated extension!) July 27, 2022 – Notification of acceptance August 7, 2022 – Camera-ready due August 31, 2022 – Video recordings due September 16, 2022 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizers coco4mt2022(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Constantine Lignos Brandeis University John E. Ortega New York University and University of Santiago de Compostela (CITIUS) Katharina Kann University of Colorado Boulder Maja Popopvić ADAPT Centre at Dublin City University Marine Carpuat University of Maryland Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Amirhossein Tebbifakhr University of Trento Anna Currey Amazon Arturo Oncevay University of Edinburgh Atul Kr. Ojha National University of Ireland Galway Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleni Metheniti Université Toulosse - Paul Sabatier Francis Tyers Indiana University Jasper Kyle Catapang University of Birmingham John E. Ortega New York University and USC - CITIUS José Ramom Pichel Campos Universidade de Santiago de Compostela - CITIUS Kalika Bali Microsoft Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Pablo Gamallo Universidade de Santiago de Compostela - CITIUS Rodolfo Joel Zevallos Salazar Universitat Pompeu Fabra Rico Sennrich University of Zurich Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology -- *Shabnam Tafreshi, PhD* *Assistant Research Scientist* *Computational Linguistics, NLP* *UMD: ARLIS @ College Park* *"All the problems of the world could be settled easily, if people only willing to think."* *-Thomas J. Watson*

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Fully Funded PhD Position (Belgium)
by ashwin.ittoo＠uliege.be 06 Jul '22

06 Jul '22

We are offering a fully funded, industry-sponsored PhD scholarship on the topic of Language Models. The selected candidate will have the opportunity to conduct research at the junction of industry and academia. She/he will also be part of an exciting team of data scientists & PhD researchers from the corporate and from the academic world. For more details, please see https://www.akadeus.com/announcement,a7165.html https://www.digitallab.be/en/

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[DEADLINE EXTENSION] [CFP] VarDial 2022 - Ninth Workshop on NLP for Similar Languages, Varieties and Dialects
by Scherrer, Yves 06 Jul '22

06 Jul '22

Co-located with COLING 2022, at VarDial we anticipate discussion on computational methods and on language resources for closely related languages, language varieties and dialects. We plan to organize VarDial 2022 as a hybrid workshop with options for both on-site and remote participation. We accept paper submissions until July 22, 2022 (details below). https://sites.google.com/view/vardial-2022 We welcome papers dealing with one or more of the following topics: - Language resources and tools for similar languages, varieties and dialects; - Adaptation of tools (taggers, parsers) for similar languages, varieties and dialects; - Evaluation of language resources and tools when applied to language varieties; - Reusability of language resources in NLP applications (e.g., for machine translation, POS tagging, syntactic parsing, etc.); - Corpus-driven studies in dialectology and language variation; - Computational approaches to the study of mutual intelligibility between dialects and similar languages; - Automatic identification of lexical variation; - Automatic classification of language varieties; - Text similarity and adaptation between language varieties; - Linguistic issues in the adaptation of language resources and tools (e.g., semantic discrepancies, lexical gaps, false friends); - Machine translation between closely related languages, language varieties and dialects. In addition to the topics listed above, we also welcome papers dealing with diachronic language variation (e.g. phylogenetic methods, historical dialects). Instructions for Authors Submissions should be formatted according to the COLING template and submitted in PDF format. The review process will be double-blind. More information on the website. Important Dates Submission deadline: EXTENDED TO JULY 22, 2022 (anywhere on earth) Notification of acceptance: August 22, 2022 Camera-ready papers due: September 5, 2022 VarDial Workshop at COLING 2022: October 16, 2022 Organizers Yves Scherrer - University of Helsinki (Finland) Tommi Jauhiainen - University of Helsinki (Finland) Nikola Ljubešić - Jožef Stefan Institute (Slovenia) and University of Zagreb (Croatia) Preslav Nakov - Qatar Computing Research Institute, HBKU (Qatar) Jörg Tiedemann - University of Helsinki (Finland) Marcos Zampieri - Rochester Institute of Technology (USA) Contact: yves.scherrer(a)helsinki.fi<mailto:yves.scherrer@helsinki.fi>

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Postdoctoral Researcher position in Artificial Intelligence and Natural Language Processing (SCAI-Sorbonne/BnF research program)
by Laure Soulier 06 Jul '22

06 Jul '22

--- apologies for cross-postings --- Dear colleagues, We have an open position for a postdoctoral researcher on natural language processing / information retrieval / machine learning (SCAI/BnF research program) Starting period: autumn 2022 Duration: 12-month postdoctoral contract, renewable) Location: Sorbonne university (ISIR lab in the MLIA team) / DataLab of the BNF Supervision: Laure Soulier, MCF in computer science at Sorbonne University, MLIA team, ISIR. Emmanuelle Bermès, Scientific and Technical Assistant to the Director of Services and Networks at BnF. Jean-Philippe Moreux, Scientific expert of Gallica at the BnF. More info: https://scai.sorbonne-universite.fr/public/news/view/27d72d260c950c8d66c6/1 _*Context*_ Gallica, the digital library of the BnF, contains nearly 10 million digitized documents that are freely accessible online (18.5 million visits per year). However, most users do not know that Gallica contains not only printed documents, but also photographs, sound recordings, videos, and 3D objects. In satisfaction surveys, only a minority of users consider the search engine's answers to be relevant and a majority would like to be better guided in their searches. A recommendation system should be able to help users find their way through the mass of collections and improve the visibility of the least known. In this project, BnF is committed to adopting a resolutely ethical approach. The exploitation of user logs must respect their privacy and guarantee both the relevance and transparency of the algorithms, avoiding the risk of filter bubbles. The interface design is also at the heart of the approach: a trustworthy system relies on a good user experience and on the diversity and relevance of the proposed recommendations. Three lines of thought emerge: 1) based on the available data, including both user logs and collection descriptions, how to develop predictive algorithms? 2) how to integrate diversity in the recommendation algorithm while leaving the choice to the user to moderate his serendipity threshold? 3) how to build user trust in algorithm design and audit? _*Main missions*_ This project consists in working on information access in the Gallica library, from the point of view of machine and deep learning techniques. The research axes concern (1) the analysis and indexing of textual documents as well as (2) the analysis of user traces and (3) recommendation systems. We are particularly interested in multimodal techniques that allow contextualizing a document or a query based on user interactions. The successful candidate will be responsible for: ● Implementing models to learn the semantics of textual data for the purpose of indexing them. ● Developing algorithms based on representation learning methodologies to effectively blend text and user traces. ● Reporting and presenting development work in a clear and effective manner, both for discussion with BnF experts and writing machine learning publications. The printed book collection will be the primary focus of the program described above, but an extension to other collections with textual descriptors (in particular iconographic collections) may be considered. -- ------------- Laure Soulier Maître de conférences Equipe MLIA - Laboratoire ISIR - Sorbonne Université Tour 26, Couloir 26-00, Bureau 515 (+33) 1 44 27 74 91 https://pages.isir.upmc.fr/soulier/

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Second Call for papers: 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) at EMNLP 2022
by Alberto Lavelli 06 Jul '22

06 Jul '22

[Apologies for multiple postings] *** SECOND CALL FOR PAPERS *** EMNLP 2022 Workshop - The 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) https://louhi2022.fbk.eu/ Colocated with EMNLP 2022, Abu Dhabi (7 December 2022) but also accessible online *Please, note that this year we use both the ACL Rolling Review (ARR) system and Softconf as paper submission platforms.* ARR Submission deadline: July 15, 2022 Direct submission deadline: 7 September 2022 ** Call for Papers ** The 13th International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass textual content of electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents. The LOUHI workshop series fosters interactions between the Computational Linguistics, Medical Informatics, and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized 12 times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal; LOUHI 2016 was co-located with EMNLP in Austin, Texas; LOUHI 2017 was held in Sydney, Australia; LOUHI 2018 was co-located with EMNLP in Brussels, Belgium; LOUHI 2019 was co-located with EMNLP-IJCNLP in Hong Kong; LOUHI 2020 was co-located with EMNLP; and LOUHI 2021 was co-located with EACL. LOUHI 2022 is soliciting papers describing original research. Papers must describe substantial and completed work but could also focus on other contributions, such as a negative result, a software package or work in progress. The topics include, but are not limited to, the following language processing techniques and related areas: - Techniques supporting information extraction, e.g., named entity recognition, negation and uncertainty detection - Classification and text mining applications (e.g., diagnostic classifications such as ICD-10 and nursing intensity scores) and problems (e.g., handling of unbalanced data sets) - Text representation, including dealing with issues of data sparsity and dimensionality - Domain adaptation, e.g., adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain - Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation - Unsupervised methods, including distributional semantics - Evaluation, gold/reference standard construction and annotation - Syntactic, semantic and pragmatic analysis of health documents - Anonymization / de-identification of health records and ethics - Supporting the development of medical terminologies and ontologies - Individualization of content, consumer health vocabularies, summarization and simplification of text - NLP for supporting documentation and decision making practices - Predictive modeling of adverse events, e.g., adverse drug events and hospital acquired infections - Terminology and information model standards (SNOMED CT, FHIR) for health text mining - Bridging gaps between formal ontology and biomedical NLP We welcome submissions on topics related to text mining of health documents, particularly emphasizing multidisciplinary aspects of health documentation and the interplay between nursing and medical sciences, information systems, computational linguistics and computer science. We also encourage submissions reporting work on low-resourced languages, addressing the challenges of data sparsity and language characteristic diversity. ** Important Dates ** ARR submission deadline: July 15, 2022 (via ARR) Direct submission deadline: 7 September 2022 Notification to authors: October 9, 2022 Camera-ready papers due: October 16, 2022 Workshop: December 7, 2022 ** Submission Instructions ** Submissions go through a double-blind review process, where each submission is reviewed by three program committee members. Accepted papers will be presented by the authors in a regular workshop session either as a talk or a poster. All accepted papers will be published in the workshop proceedings. The submissions should be in PDF format and anonymized for review. All submissions must be written in English and follow the EMNLP 2022 style guidelines: https://2022.emnlp.org/calls/style-and-formatting/ * Long paper submission: up to 8 pages of content, plus 2 pages for references; final versions of long papers: one additional page (so that reviewers' comments can be taken into account): up to 9 pages with unlimited pages for references * Short paper submission: up to 4 pages of content, plus 2 pages for references; final version of short papers: up to 5 pages with unlimited pages for references LOUHI 2022 will accept electronic submission both via ARR and Softconf. ** Invited Speaker ** TO BE ANNOUNCED Workshop Organizers: Alberto Lavelli (FBK, Trento, Italy) James Pustejovsky (Brandeis University, USA) Eben Holderness (Brandeis University, USA) Antonio Jimeno Yepes (RMIT University, Australia) Anne-Lyse Minard (University of Orleans, LLL CNRS, France) Fabio Rinaldi (Dalle Molle Institute for Artificial Intelligence Research - IDSIA, Switzerland & FBK, Trento, Italy) ** Programme Committee ** TO BE ANNOUNCED -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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FigLang 2022 (co-located with EMNLP 2022): Shared Task on Euphemism Detection
by Anna Feldman 05 Jul '22

05 Jul '22

https://sites.google.com/view/figlang2022/shared-tasks?authuser=0 *Euphemism Detection Shared Task* Euphemisms are mild or indirect expressions used in place of harsher or more offensive ones. Euphemisms are often used to mask profanity or refer to taboo topics such as death, disability, sex, religion or personal relationships in a polite way. Euphemisms are often ambiguous: their literal and non-literal interpretation is context-dependent: Asked to choose *between jobs* and the environment, a majority -- at least in our warped, first-past-the-post system -- will pick jobs. [non-euphemistic] vs. This summer, the budding talent agent was *between jobs* and free to babysit pretty much any time. [euphemistic] The state of the art language models perform well on many major NLP benchmarks; however, it is unclear how such models perform on euphemisms. Thus, we propose a euphemism detection task: given an input sentence, identify whether the sentence contains a euphemism. For more information about the shared task and to participate visit https://codalab.lisn.upsaclay.fr/competitions/5726 <https://www.google.com/url?q=https%3A%2F%2Fnam10.safelinks.protection.outlo…> . *Important dates:* - July 5, 2022: CodaLab competition is open; training data can be downloaded - Aug 5, 2022: Test data can be downloaded and results submitted; performance will be tracked on CodaLab dashboard - Aug 20, 2022: Last day for submitting predictions on test data - Sept 7, 2022: Papers describing the systems are due - Oct 9, 2022: Notification of acceptance - TBD, 2022: Camera-ready papers due - December 7 or 8, 2022: Workshop

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3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 05 Jul '22

05 Jul '22

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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CSIRO PhD Scholarship in NLP and Text Generation (First round application deadline: 8 July 2022)
by Wan, Stephen (Data61, Eveleigh) 05 Jul '22

05 Jul '22

Australia's publicly funded science organisation, the CSIRO, is offering a full PhD scholarship on the topic of: "Using AI and NLP to assist in scientific and technical document creation". Recent methods in artificial intelligence (AI) and natural language processing (NLP) have shown the tremendous potential of neural network language models for text generation. However, there are many areas that can still be improved through further research and development. These relate to issues such as: (1) the system-generated text is not factually consistent, with respect to the source documents, (2) inappropriate wording or style (e.g., formal vs informal) is present in the generated text, and (3) the coherence and overall readability of the passage is poor, even if the component sentences seem fluent. Working with text generation and document creation scenarios that utilise scientific and technical literature, the candidate will research solutions to problems like the ones described above. The candidate will draw on methods from NLP and user-centric approaches, noting that these AI methods often have the most impact when they consider the context of the user, or author, and the AI-collaborative scenario in which the generated text is being used. The successful candidate should have a passion for working with natural language data, an interest in linguistics, and a desire to research novel NLP algorithms and prepare new NLP data sets. Additional time to build up expertise in data science/machine learning/user-centered methods can be negotiated. For more details, please email Stephen.Wan(a)csiro.au, or apply at https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/ First round application deadline: 8 July 2022 Data61 PhD scholarships<https://jobs.csiro.au/job/Sydney%2C-NSW-Data61-PhD-scholarships/900646900/> Sydney, NSW Data61 PhD scholarships. Acknowledgement of Country CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. jobs.csiro.au ---------------------------------------------------------- Dr Stephen Wan Team Leader, Senior Research Scientist | Language and Social Computing Team CSIRO's Data61 E stephen.wan(a)data61.csiro.au T +61 2 93724703 W http://people.csiro.au/W/S/Stephen-Wan.aspx www.data61.csiro.au

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New NLP Special Issue
by Florentina Hristea 04 Jul '22

04 Jul '22

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS NEW IMPACT FACTOR 2.592 An Open Access Journal by MDPI link: https://www.mdpi.com/journal/mathematics Guest Editor: * Florentina Hristea, University of Bucharest Deadline for manuscript submissions: April 23, 2023 (Please note that this deadline will not be extended.) Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/mathematics/instructions> page. For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro> https://cs.unibuc.ro/~fhristea/

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[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 04 Jul '22

04 Jul '22

Dear colleagues and friends, *We invite submissions to a special issue on "Information Extraction and Language Discourse Processing" of journal Information <https://www.mdpi.com/journal/information> (ISSN 2078-2489).* *Special Issue Information* This Special Issue seeks novel research reports on the spectrum that blends information extraction and language discourse processing research in diverse communities. The editors welcome submissions along various dimensions derived from the nature of the extraction task, the advanced neural techniques used for extraction, the variety of input resources exploited, and the type of output produced. Quantitative, qualitative, and mixed methods studies are welcome, as are case studies and experience reports if they describe an impactful application at a scale that delivers useful lessons to the journal readership. Topics of interest include (but are not limited to): - Knowledge base population with discourse-centric information extraction (IE) - Coreference resolution and its impact on discourse-centric IE - Relationship extraction leveraging linguistic discourse - Template filling - Impact of pragmatics or rhetorics on information extraction - Discourse-centric IE at scale - Intelligent and novel assessment models of discourse-centric IE - Survey of discourse-centric IE in natural language processing (NLP) - Challenges implementing discourse-centric IE in real-world scenarios - Modeling domains using discourse-centric IE - Human–AI hybrid systems for learning discourse and IE *Submission Instructions* https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD *Deadline for manuscript submissions* Submissions to the SI will be accepted and published on a rolling basis until the close of the issue on 10 December 2022 Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang *Guest Editors*

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Final CfP: Onto4FAIR Workshop at SEMANTICS 2022
by Cassia TROJAHN 04 Jul '22

04 Jul '22

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 -------------- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -------------- Important dates -------------- - July 04, 2022 (11:59 pm, Hawaii time): Submission deadline - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -------------- Presentation -------------- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were laborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Submissions -------------- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair (https://easychair.org/conferences/?conf=onto4fair). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -------------- Program Committee -------------- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid Nicolas Matentzoglu, Semanticly Ltd María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano

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[DEADLINE EXTENSION]: 5th Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC 2022 at COLING)
by Maciej Ogrodniczuk 04 Jul '22

04 Jul '22

(apologies for cross-postings) <https://sites.google.com/view/crac2022/> CRAC 2022, the Fifth Workshop on Computational Models of Reference, Anaphora and Coreference, will be held at COLING 2022 <https://coling2022.org/> on October 16-17, in Gyeongju, Republic of Korea (in hybrid mode). Important dates (ALL NEW!) * Workshop papers due: Jul 25, 2022 * Notification of acceptance: Sep 1, 2022 * Camera-ready papers due: Sep 12, 2022 Topics We are interested in your work on any aspect of theoretical or applied computational work on anaphora/coreference resolution. Some topics to suggest: * coreference resolution for less-researched languages * annotation and interpretation of anaphoric relations, including relations other than identity coreference (e.g., bridging references) * investigation of difficult cases of anaphora and their resolution * coreference resolution in noisy data (e.g. in social media) * new applications of coreference resolution * <https://universalanaphora.github.io/UniversalAnaphora/> Universal Anaphora * CorefUD <https://ufal.mff.cuni.cz/corefud> Paper categories * Research papers (theoretical computational linguistics, empirical/data-driven approaches, paradigms/techniques/strategies, analysis papers, resources and evaluation, negative result) * Survey papers (surveys a popular or emerging area of anaphora/coreference resolution) * Position papers (presents one side of an arguable opinion about an issue) * Challenge papers (a challenge to the field in terms of setting out a goal for the next 5/10/20 years) * Demo papers (systems, tools, visualizations) * Extended abstracts (describe work in progress) Double submission We allow for double submissions. Please indicate during submission to which other conference or workshop your work has been submitted. We also invite authors of papers accepted to Findings of the main conferences (e.g. ACL, NAACL, EMNLP) to present their work at the workshop. It these papers were removed from the Findings, they can be included in the proceedings of the workshop without additional review. Submission link Please submit your paper to <https://www.google.com/url?q=https%3A%2F%2Fwww.softconf.com%2Fcoling2022%2F CRAC_2022%2F&sa=D&sntz=1&usg=AOvVaw1eoYlFaZ0v9DyVP1jMhKut> SoftConf. All submissions must follow <https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FSubmission&sa=D &sntz=1&usg=AOvVaw0Za00EvYPI0scFyYwQ3NkV> the COLING 2022 formatting instructions. Please find all other important information on the CRAC 2022 website <https://sites.google.com/view/crac2022/> . See you at CRAC 2022! Maciej Ogrodniczuk (on behalf of all organizers: Vincent Ng, Sameer Pradhan, Anna Nedoluzhko and Massimo Poesio)

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ACRPS Programmer specialized in Arabic NLP/Data Science
by Fadi Zaraket 03 Jul '22

03 Jul '22

The *Arab center for researcg and policy studies, Doha Qatar, * is looking for a *programmer **specialized in **data sciences* to join an applied research unit. To apply or query about the position send an email with your CV and questions to: recruitment(a)dohainstitute.org The unit concerns* natural language processing *with applications to text in Arabic and its dialects and aims to serve applications in humanities, social, political, and economic studies. The unit develops technologies that serve digital Arabic knowledge. It aims to advance the state of the art, and further modern digital Arabic knowledge. The unit presents its results and outputs to help researchers and policy makers in the Arabic society understand and interact with the Arabic society across all its classes and sectors. In their role, the programmer will contribute fundamentally to the development of the capacities and resources that will empower such applications. Within their role, the programmer will develop techniques for analysis, inspection, and extraction of information from Arabic text originating from a variety of sources including social media. *Required skills and expertise:* 1. Developer with three years or more of programming experience in one or more programming languages (C++, Java, Python, Rust, R, …) 2. Three years or more of work in natural language processing (NLP) using modern technologies, packages and library APIs to interact with natural languages. 3. Solid knowledge in efficient algorithms to handle large data sets 4. Familiarity (at least) of use of elastic computing servers that provides computing services for data sciences and NLP such as Google Colabs, Amazon AWS, and Azure. 5. Experience in building websites and mobile applications to present the results of technologies developed at the unit. This includes frontend, backend, and database (sql/no-sql) expertise. 6. Good linguistic skills in Arabic that cover intermediary levels of morphology صرف, etymology اشتقاق, and dictation املاء 7. Basic knowledge and experience in statistical and machine learning and data sciences 8. Experience in data visualization for insights, graphs and information extracted from large data sets 9. Master’s degree in a computer science or engineering field or a bachelor’s degree with two years of experience. Focus or concentration on statistical inference or machine learning is a plus.

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Last Call for Participation: LxGr2022
by Costas Gabrielatos 02 Jul '22

02 Jul '22

Last Call for Participation Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Registration closes on Thursday 7 July, 10am (BST). The symposium will take place online on Friday 8 & Saturday 9 July 2022. Programme: https://www.edgehill.ac.uk/departments/academic/englishhistorycreativewriti… Abstracts: https://www.academia.edu/82101749 and https://www.researchgate.net/publication/361490343 Registration (free): https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… For more information, contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[CfP] Workshop on Deep Learning and Neural Approaches for Linguistic Linked Data 2 (DL4LD)
by Hugo Gonçalo Oliveira 02 Jul '22

02 Jul '22

Dear colleagues, the second edition of the Workshop on Deep Learning and Neural Approaches for Linguistic (Linked) Data (DL4LD) will be held in Vilnius, Lithuania & online on September 22, 2022, collocated with the conference on “LLOD approaches for language data research and management” ( http://llodapproaches2022.mruni.eu/). As a follow-up to the First Workshop on Deep Learning and Neural Approaches for Linguistic Data in 2021, this workshop aims at bringing together deep learning and neural approaches with Linguistic Linked Data. We invite research papers, application descriptions, system demonstrations, and position papers that discuss the interconnection of both areas. Relevant topics for the workshop include, but are not limited to, the following areas: * Deep Learning for Linguistic Linked (Open) Data, modeling, resources & interlinking * Deep Learning and LLOD in NLP * LLOD and Deep Learning for Digital Humanities * Enhancement of language models with structured linguistic data * Use cases combining language models and structured linguistic data Submissions in the form of extended abstracts will be published in an online book of abstracts. Important Dates: Submission deadline: 14 August 2022 Notification deadline: 28 August 2022 Camera ready version due: 4 September 2022 Workshop date: 22 September 2022 Submission guidelines: Submission type: extended abstracts Length: max. 2 pages including references Format: Springer Lecture Notes in Computer Science (LNCS); LaTeX, Overleaf, OpenDocument or MS Word Registration and participation: free of charge Submission link: https://easychair.org/my/conference?conf=nexuslinguarumdl2022 Optionally, extended versions of the abstracts can be submitted as full papers describing original research to the special issue of the Rasprave journal (subject to a separate peer review process; more information: http://llodapproaches2022.mruni.eu/?page_id=16, deadline: 1 December 2022) Scientific committee: Giedrė Valūnaitė-Oleškevičienė, Mykolas Romeris University Radovan Garabik, Ľ. Štúr Institute of Linguistics, Slovak Academy of Sciences Dagmar Gromann, University of Vienna Jorge Gracia, University of Zaragoza Hugo Gonçalo Oliveira, University of Coimbra Chaya Liebeskind, Jerusalem College of Technology Purificação Silvano, University of Porto Workshop webpage & more information: http://llodapproaches2022.mruni.eu/?page_id=239 Contact e-mail: dl4ld(a)juls.savba.sk

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Call for Shared Task Participation: Multilingual Protest Event Detection, CASE @ EMNLP 2022
by ali hürriyetoglu 01 Jul '22

01 Jul '22

Apologies for cross posting. FIRST CALL FOR PARTICIPATION CASE-2022 Shared Task: Multilingual Protest Event Detection ================================================ We invite you to participate in the CASE-2022 Shared Task 1: Multilingual Protest Event Detection. The task is being held as part of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2022). This is a continuation of the shared task CASE 2021 Hürriyetoğlu et al. (2021) [1]. The training set is the same as CASE 2021. But the evaluation phase will include data from additional languages in CASE 2022. Please see the workshop website for further details: https://emw.ku.edu.tr/case-2022/ & Contact address: ali.hurriyetoglu(a)gmail.com Important Dates ================================================ Training data available: please follow instructions on the repository of the task: https://github.com/emerging-welfare/case-2022-multilingual-event. You will obtain the test data for CASE 2021 as well, with a Codalab page ( https://competitions.codalab.org/competitions/31639) available to obtain a score for your predictions. New test data available: September 15, 2022 Test end: September 25, 2022 System Description Paper submissions due: October 2, 2022 Notification to authors after review: Oct 09, 2022 Camera-ready: Oct 16, 2022 Workshop period @ EMNLP: Dec 7-8, 2022 Motivation ================================================ Event extraction has recently attracted a lot of attention in the NLP community, as well as among political and social scientists: It has emerged as a robust technology for identifying the most important information inside media streams. At the same time, it provides a basis for quantitative assessment of the political situation in the World. Event extraction has long been a challenge for the natural language processing (NLP) community as it requires sophisticated methods for detection and classification of events: machine learning, syntactic and semantic parsing, event ontologies, event co-reference resolution, acquisition of language resources, grammar learning, terminology learning, temporal and spatial reasoning, and other algorithmic approaches (Pustojevsky et al. 2003; Boroş, 2018; Chen et al. 2021). Social and political scientists have been working to create socio-political event (SPE) databases such as ACLED, EMBERS, GDELT, ICEWS, MMAD, PHOENIX, POLDEM, SPEED, TERRIER, and UCDP following similar steps for decades. These projects and the new ones increasingly rely on machine learning (ML), deep learning (DL), and NLP methods to deal better with the vast amount and variety of data in this domain (Hürriyetoğlu et al. 2020). Automation offers scholars not only the opportunity to improve existing practices, but also to vastly expand the scope of data that can be collected and studied, thus potentially opening up new research frontiers within the field of SPEs, such as politically-motivated violence and social movements. Automated approaches, however, suffer from major issues like bias, generalizability, class imbalance, training data limitations, and ethical issues that have the potential to affect the results and their use drastically (Lau and Baldwin 2020; Bhatia et al. 2020; Chang et al. 2019). SPEs are varied and nuanced. Both the political context and the local language used may affect whether and how they are reported. Therefore, all steps of information collection (event definition, language resources, and manual or algorithmic steps) may need to be constantly updated, leading to a series of challenging questions: Do events related to minority groups are represented well? Are new types of events covered? Are the event definitions and their operationalization comparable across systems? This workshop aims at finding answers to these questions as well. Inspiring innovative technological and scientific solutions for tackling these issues and quantifying the quality of the results. Task Overview ================================================ The task consists of four subtasks relevant to Event Causality Identification: Subtask 1: Document classification ⇒ Does a news article contain information about a past or ongoing event? Subtask 2: Sentence classification ⇒ Does a sentence contain information about a past or ongoing event? Subtask 3: Event sentence coreference identification ⇒ Which event sentences (subtask 2) are about the same event? Subtask 4: Event extraction ⇒ What is the event trigger and what are its arguments? Participants may design mono- or multilingual solutions that work on a single, multiple, or all subtasks concurrently. Participants are also allowed to combine annotations for either task. Additional datasets can be utilized for training or validation purposes. The systems developed for one or more of these subtasks will be invited to process a news archive to measure the correlation between automatically and manually created event datasets. This task will be referred as Task 2. Please see Guigni et al. (2021) for the similar task we performed last year. You can find the task repository at https://github.com/emerging-welfare/case-2022-multilingual-event, which contains sample data and scripts. Data ================================================ Training data: The training data we use for the Task 1 is the training data for CASE-2021 and consists of English, Portuguese, and Spanish news articles. Please find the detailed description of the data on Hürriyetoğlu et al. (2021), https://aclanthology.org/2021.case-1.11.pdf. Test data: There will be two test sets for Subtask 1. These are i) test data from CASE 2021, which is already available, and ii) new test data for CASE 2022 including new data both in existing and in new languages, e.g. Japanese, Urdu, Mandarin, and Turkish. The test data for subtasks 2, 3, and 4 will be the same as CASE 2021 test data for subtasks 2, 3, and 4 respectively. Evaluation ================================================ The F1-macro score on predictions for test data in each language will be calculated separately for Subtasks 1 and 2. The subtask 2 will be evaluated using F1-macro. Subtask 3 will be evaluated using scorch - a python implementation of CoNLL-2012 average score for the test data ( https://github.com/LoicGrobol/scorch). Finally, we will use CoNLL-03 evaluation script (https://github.com/sighsmile/conlleval) for subtask 4. The new test data for subtask 1 may be utilized to improve performance on these subtasks. The evaluation will be managed on a Codalab page. Participants will submit their scores and the highest performing submission will be used for ranking teams. There will be a limit on the number of submissions that can be performed. After the test deadline, an additional Codalab page will be set for additional scoring. Participation ================================================ Please send your team name and the participation form that is on https://github.com/emerging-welfare/case-2022-multilingual-event/blob/main/… to ali.hurriyetoglu(a)gmail.com. We will share the CASE-2021 data with you right away and notify you when the CASE-2022 evaluation data is ready. Publication ================================================ All participating teams will have the opportunity to submit their system description papers to be considered for publication in the workshop proceedings published by ACL Anthology. The papers should be submitted on http://softconf.com/emnlp2022/case2022. Organization ================================================ Ali Hürriyetoğlu, KNAW Humanities Cluster, DHLab, the Netherlands Erdem Yörük, Koc University, Turkey Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Osman Mutlu, Koc University, Turkey Vanni Zavarella, Italy Reyyan Yeniterzi, Sabanci University, Turkey Fatih Beyhan, Sabanci University, Turkey Francielle Vargas, University of São Paulo, Brazil Fırat Duruşan, Koc University, Turkey Yaoyao Dai, UNC Charlotte, United States Aaqib Javid, Koc University, Turkey Benjamin Radford, UNC Charlotte, United States Kalliopi Zervanou, Leiden University, the Netherlands Milena Slavcheva, Bulgarian Academy of Sciences, Bulgaria Niklas Stoehr, ETH Zurich, Switzerland Guillem Ramirez, ETH Zurich, Switzerland Shaina Raza, Public Health Ontario and University of Toronto, Canada Farhana Ferdousi Liza (University of East Anglia, United Kingdom Tadashi Nomoto, National Institute of Japanese Literature, Japan Alaeddin Selçuk Gürel, Huawei, Turkey YiJyun Lin, University of Arizona, U.S.A & National Taiwan University, Taiwan Tiancheng Hu, ETH Zürich, Switzerland Onur Uca, Mersin University, Turkey Fiona Anting Tan, Institute of Data Science, National University of Singapore, Singapore Hansi Hettiarachchi, Birmingham City University, United Kingdom References ================================================ [1] Giorgi, S., Zavarella, V., Tanev, H., Stefanovitch, N., Hwang, S., Hettiarachchi, H., ... & Hurriyetoglu, A. (2021, January). Discovering black lives matter events in the United States: Shared task 3, In Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) (pp. 218-227). ASSOC COMPUTATIONAL LINGUISTICS-ACL. URL: https://aclanthology.org/2021.case-1.27/ [2] Hürriyetoğlu, A., Mutlu, O., Yörük, E., Liza, F. F., Kumar, R., & Ratan, S. (2021, August). Multilingual Protest News Detection - Shared Task 1, CASE 2021. In Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021) (pp. 79-91). URL: https://aclanthology.org/2021.case-1.11/

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Third Call for Papers: The 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
by Stan Szpakowicz 01 Jul '22

01 Jul '22

*LaTeCH-CLfL 2022:* ***The 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature* to be held in a /hybrid/ manner on October 16, 2022 in conjunction with COLING 2022 in Gyeongju, Republic of Korea. https://sighum.wordpress.com/events/latech-clfl-2022/ Third Call for Papers (with apologies for cross-posting) Organisers: Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter, Stan Szpakowicz LaTeCH-CLfL 2022 is the sixth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual meetings. The SIGHUM Workshops on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational Linguistics for Literature (CLfL) took place in 2012-2016. The first five joint workshops (LaTeCH-CLfL) were held in 2017-2021. *Topics and Content* In the Humanities, Social Sciences, Cultural Heritage and literary communities, there is increasing interest in, and demand for, NLP methods for semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of both primary and secondary data. This is even true of primarily non-textual collections, given that text is also the pervasive medium for metadata. Such applications pose new challenges for NLP research: noisy, non-standard textual or multi-modal input, historical languages, vague research concepts, multilingual parts within one document, and so no. Digital resources often have insufficient coverage; resource-intensive methods require (semi-)automatic processing tools and domain adaptation, or intense manual effort (e.g., annotation). Literary texts bring their own problems, because navigating this form of creative expression requires more than the typical information-seeking tools. Examples of advanced tasks include the study of literature of a certain period, author or sub-genre, recognition of certain literary devices, or quantitative analysis of poetry. NLP methods applied in this context not only need to achieve high performance, but are often applied as a first step in research or scholarly workflow. That is why it is crucial to interpret model results properly; model interpretability might be more important than raw performance scores, depending on the context. More generally, there is a growing interest in computational models whose results can be used or interpreted in meaningful ways. It is, therefore, of mutual benefit that NLP experts, data specialists and Digital Humanities researchers who work in and across their domains get involved in the Computational Linguistics community and present their fundamental or applied research results. It has already been demonstrated how cross-disciplinary exchange not only supports work in the Humanities, Social Sciences, and Cultural Heritage communities but also promotes work in the Computational Linguistics community to build richer and more effective tools and models. Topics of interest include, but are not limited to, the following: • adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; • automatic error detection and cleaning of textual data; • complex annotation schemas, tools and interfaces; • creation (fully- or semi-automatic) of semantic resources; • creation and analysis of social networks of literary characters; • discourse and narrative analysis/modelling, notably in literature; • emotion analysis for the humanities and for literature; • generation of literary narrative, dialogue or poetry; • identification and analysis of literary genres; • linking and retrieving information from different sources, media, and domains; • modelling dialogue literary style for generation; • modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage; • profiling and authorship attribution; • search for scientific and/or scholarly literature; • work with linguistic variation and non-standard or historical use of language. *Information for Authors* We invite papers on original, unpublished work in the topic areas of the workshop. In addition to long papers, we will consider short papers and system descriptions (demos). We also welcome position papers. • Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. • A short paper / demo presenting work in progress, or the description of a system, and may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. • A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to use the ACL stylesheets adopted by COLING 2022 (see https://coling2022.org/Submission, styles for LaTeX <https://github.com/acl-org/acl-style-files/blob/master/latex/acl_latex.tex>, MS Word <https://github.com/acl-org/acl-style-files/blob/master/word/acl.docx> or Overleaf <https://www.overleaf.com/read/crtcwgxzjskr>). Papers should be submitted electronically, in PDF, at https://www.softconf.com/coling2022/LaTeCH-CLfL_2022/. Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Self-references should be kept to a reasonable minimum, and anonymous citations cannot be used. Accepted papers will be published in the workshop proceedings available as usual in the ACL Anthology. *Important Dates* Papers due: July 11, 2022 Notification of acceptance: August 22, 2022 Camera-ready papers due: September 5, 2022 Workshop: October 16, 2022 The two due dates are Anywhere On Earth. *More on the organisers* Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University Anna Kazantseva, National Research Council Canada Nils Reiter, Department for Digital Humanities, University of Cologne Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa *Contact* latech-clfl(a)googlegroups.com

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[CFP] - 🏃‍♂️ SocialDisNER track 🥇 : Detection of Disease Mentions in Social Media
by Darryl Estrada 01 Jul '22

01 Jul '22

Apologies for cross-posting ******************************* *** 2nd CFP- SocialDisNER track: Detection of Disease Mentions in Social Media *** (SMM4H Shared Task at COLING2022) https://temu.bsc.es/socialdisner/ <https://mailtrack.io/trace/link/3e71c1bed2ad679dff794153eb37d9eefb27b320?ur…> Development set, large-scale silver standard, and disease-comoborbility network are now available Despite the high impact & practical relevance of detecting diseases automatically from social media for a diversity of applications, few manually annotated corpora generated by healthcare practitioners to train/evaluate advanced entity recognition tools are currently available. Developing disease recognition tools for social media is critical for: - Real-time disease outbreak surveillance/monitoring - Characterization of patient-reported symptoms - Post-market drug safety - Epidemiology and population health, - Public opinion mining & sentiment analysis of diseases - Detection of hate speech/exclusion of sick people - Prevalence of work-associated diseases SocialDisNER is the first track focusing on the detection of disease mentions in tweets written in Spanish, with clear adaptation potential not only to English but also other romance languages like Portuguese, French or Italian spoken by over 900 million people worldwide. For this track the SocialDisNER corpus was generated, a manual collection of tweets enriched for first-hand experiences by patients and their relatives as well as content generated by patient-associations (national, regional, local) as well as healthcare institutions covering all main diseases types including cancer, mental health, chronic and rare diseases among others. As a novelty, we have published a large-scale additional corpus of +85k tweets annotated with diseases, in addition to a disease gazzetter extracted from medical terminologies and a disease-comoborbility network extracted from the large-scale additional corpus. Info: - Web: https://temu.bsc.es/socialdisner/ <https://mailtrack.io/trace/link/9d2545b93fc6172e6e1cfd016ca9042d4a5e3398?ur…> - Data: <https://mailtrack.io/trace/link/75e30761b1d2a05960c484153cdc496035092d00?ur…> https://doi.org/10.5281/zenodo.6359365 <https://mailtrack.io/trace/link/a618de145de70b0ada1fd37699b0727391efc5fb?ur…> - Additional large-scale data: https://zenodo.org/record/6773099 <https://mailtrack.io/trace/link/13e20bfcbf66f28252dc074da5459a1d3aed7b25?ur…> - Registration: https://temu.bsc.es/socialdisner/registration <https://mailtrack.io/trace/link/eef3909672c1e204f68f7e0a3f9b9dddcf6ba744?ur…> Schedule - Development Set Release: June 14th - Additional large-scale corpus with disease annotations: June 28th - Test Set Release: July 11th - Participant prediction Due: July 15th - Test set evaluation release: July 25th - Proceedings paper submission: August 1st - Camera ready papers: September 1st - SMM4H workshop @ COLING 2022: October 12-17 Publications and SMM4H (COLING 2022) workshop Participating teams have the opportunity to submit a short system description paper for the SMM4H proceedings (7th SMM4H Workshop, co-located at COLING 2022). More details are available at https://healthlanguageprocessing.org/smm4h-2022/ <https://mailtrack.io/trace/link/183f37b0b6c75261379edcec81c92588f0e28eda?ur…> SocialDisNER Organizers - Luis Gascó, Barcelona Supercomputing Center, Spain - Darryl Estrada, Barcelona Supercomputing Center, Spain - Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Martin Krallinger, Barcelona Supercomputing Center, Spain Scientific Committee & SMM4H Organizers - Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA - Davy Weissenbacher, University of Pennsylvania, USA - Arjun Magge, University of Pennsylvania, USA - Ari Z. Klein, University of Pennsylvania, USA - Ivan Flores, University of Pennsylvania, USA - Karen O’Connor, University of Pennsylvania, USA - Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland - Lucia Schmidt, Roche Pharmaceuticals, Switzerland - Juan M. Banda, Georgia State University, USA - çAbeed Sarker, Emory University, USA - Yuting Guo, Emory University, USA - Yao Ge, Emory University, USA - Elena Tutubalina, Insilico Medicine, Hong Kong - Jey Han Hau, The University of Melbourne (Australia) - Luca Maria Aiello, IT University of Copenhagen (Denmark) - David Camacho, Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (Spain) - Torsten Zesch, Fernuniversitat in Hagen (Germany) - Eiji ARAMAKI, Nara Institute of Science and Technology (Japan) - Rafael Valencia-Garcia, Universidad de Murcia (Spain) - Antonio Jimeno Yepes, RMIT University (Australia) - Carlos Gómez-Rodríguez, Universidad da Coruña (Spain) - Anália Lourenço, Universidade de Vigo (Spain) - Paloma Martínez, Universidad Carlos III de Madrid (Spain) - Eugenio Martinez Cámara, Universidad de Granada (Spain) - Gema Bello Orgaz, Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (Spain) - Juan Antonio Lossio-Ventura, National Institutes of Health (USA) - Héctor D. Menendez, King’s College London (UK) - Manuel Montes y Gómez, National Institute of Astrophysics, Optics and Electronics (Mexico) - Helena Gómez Adorno, Universidad Nacional Autónoma de México (Mexico) - Rodrigo Agerri, IXA Group (HiTZ Centre), University of Basque Country EHU (Spain) - Miguel A. Alonso, Universidad da Coruña (Spain) - Ferran Pla, Universidad Politécnica de Valencia (Spain) - Jose Alberto Benitez-Andrades, Universidad de Leon (Spain) Darryl Estrada Full Stack - Web Developer * Text Mining Unit | Barcelona Supercomputing Center*

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Deadline approaching: 7 July 2022. CSIRO Postdoctoral Fellowship in Natural Language Processing and Knowledge Extraction
by Wan, Stephen (Data61, Eveleigh) 01 Jul '22

01 Jul '22

Multiple CSIRO Early Research Career (CERC) Postdoctoral Fellowships are available in Natural Language Processing. Australia's CSIRO Data61<https://data61.csiro.au/> is looking for multiple CERC Fellows to join an NLP team of researchers and engineers to work on a number of public-good projects. NLP research areas of interest: information extraction, text summarization, question answering, semantic parsing, semantic role labelling, paraphrase detection and generation, and NLP for Information Retrieval. Domains of research: (1) Working with scientific literature, and (2) Computational Social Science About the CSIRO Postdoctoral Fellowship program: CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system. Relocation costs are supported for successful candidates. Location: Sydney, NSW Salary: AU$89k - AU$98k plus up to 15.4% superannuation Tenure: Specified term of 3 years Reference: 77986 Applications close: 7 July 2022 To be considered you will need: * A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science (Natural Language Processing/Computational Linguistics or Machine Learning with text data). * Experience using deep learning and other machine learning techniques in NLP. * High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences. * A sound history of publication in peer-reviewed journals and/or conferences. For more information or to apply, please visit: https://jobs.csiro.au/job-invite/77986/

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1st Call for Participation - EmoThreat: Emotions & Threat Detection in Urdu - CICLing 2022 track @FIRE 2022
by Sabur Butt 01 Jul '22

01 Jul '22

*EmoThreat: Emotions & Threat Detection in Urdu* CICLing 2022 track @FIRE 2022* Website: Link <https://sites.google.com/view/multi-label-emotionsfire-task/home> Registration is now open: Link <https://docs.google.com/forms/d/e/1FAIpQLSfWSPSM5wlgkucnhq3lDEsnWdaitwfq2EF…> The training set is now available. Participants are invited to publish Working Notes of FIRE 2022* *Task Description* With the growth of spread and importance of social media platforms, the effect of their misuse became more and more impactful. In particular, numerous posts contain abusive language towards certain users and hence worsen users’ experience from communication via such platforms, while other posts contain actual threats that potentially put platform users in danger. The Urdu language has more than 230 million speakers worldwide with vast representation on social networks and digital media. We encourage participants to participate in *EmoThreat: Emotion and Threat detection in Urdu (Nastaliq)* *Task A: Multi-label emotion classification in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-a> Task A requires you to classify the tweet as one, or more of the six basic emotions (plus neutral) which is the best representation of the emotion of the person tweeting. *Task B: Threatening Language Detection Task in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-b> Task B focuses on detecting Threatening language using Twitter tweets in Urdu language. This is a binary classification task in which participating systems are required to classify tweets into two classes, namely: Threatening and Non-Threatening. *Note: Participants in this year’s shared task can choose to participate in either one or both subtasks. Please visit the website for more information.* *Important Dates* 30th June – Training data release 25th July – Codalab submission link release (Task A) 31st August - Test set release (Task B) 10th September – Run submission deadline 17th September – Results declared 12th October - Working Note submission 26th October - Review Notifications 2nd November – Camera Ready Due 9th - 13th December - FIRE 2022 (Online Event) *Organizers* Sabur Butt, Instituto Politécnico Nacional, Mexico Maaz Amjad, Instituto Politécnico Nacional, Mexico Noman Ashraf, Mayo Clinic Arizona, United States Fazlourrahman Balouchzahi, Instituto Politécnico Nacional, Mexico Rajesh Sharma, University of Tartu, Estonia Grigori Sidorov, Instituto Politécnico Nacional, Mexico Alexander Gelbukh, Instituto Politécnico Nacional, Mexico *Contact* Email: emothreat2022(a)gmail.com Google-group: Link <https://groups.google.com/g/emothreat> *FIRE 2022: Link <http://fire.irsi.res.in/fire/2022/home> -- Sabur Butt *IPN - Computer Research Center*

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Open PostDoc position in Helsinki on High-Performance Language Technologies
by Tiedemann, Jörg 30 Jun '22

30 Jun '22

Link to the call: https://www.hiit.fi/open-positions/ Projects in the call: https://www.hiit.fi/artificial-intelligence-projects/ Deadline: 21 August at 11:59 pm UTC+3 The University of Helsinki is opening a position for a post-doctoral researcher as part of the EU project on High-Performance Language Technologies (HPLT). HPLT is a new EU-Horizon project in collaboration with 5 European universities (Prague, Edinburgh, Oslo, Turku and Helsinki), 2 HPC centers (in Norway and the Czech Republic) and one Spanish LT company on the development of language and translation models at scale. We propose a language data space and sustainable procedures to lower barriers to train large and competitive NLP models. The project focuses on multilinguality, reproducibility and openness. We will use modern high-performance compute infrastructures for scalable integration of data, code and models and we will create frameworks that are at the forefront of AI with language data. Reach out for more information and feel free to forward this message. Thank you! -- ***************************************************************** Jörg Tiedemann Language Technology https://blogs.helsinki.fi/language-technology/ University of Helsinki

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Associate professorship or tenure-track assistant professorship in Computational Linguistics and Natural Language Processing - applications by August 1. 2022
by Costanza Navarretta 30 Jun '22

30 Jun '22

Associate professorship or tenure-track assistant professorship in Computational Linguistics and Natural Language Processing ================================================================================================ The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for an associate professorship or a tenure-track assistant professorship in computational linguistics and natural language processing (NLP) to be filled by December 1st, 2022, or as soon as possible thereafter. The successful candidate will be attached to the Centre for Language Technology (CST), see Center for Sprogteknologi - Københavns Universitet (ku.dk)<javascript:void(0)>. CST conducts research in different areas of language technology, such as computational linguistics and natural language processing (NLP), language technology resources and the infrastructure around them, multimodal communication, computational cognitive modelling, digital humanities, and machine learning applied to NLP. The Centre has a strong international profile, at the same time as pursuing the development of language technology methods and resources for the Danish language. CST has considerable experience managing international research projects, frequently attracts visiting researchers and has organised major conferences in the field. Together with the Department of Computer Science of the University of Copenhagen, it offers an international MSc programme in IT and Cognition. The programme, which currently admits about 30 students a year, offers a range of courses in the areas of NLP, computer science, and cognitive Job requirements and content The candidate must demonstrate: · A research record in the field of computational linguistics and NLP · Knowledge of and experience with machine learning and deep learning methods applied to the study of language · Programming skills, preferably using Python · Relevant teaching experience at university level. The following qualifications constitute additional strengths: · A demonstrated interest in linguistics · Interest in and experience with human language technology applications The successful candidate will engage in cutting-edge research in computational linguistics and NLP in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment. The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding for research and development. Furthermore, the candidate will contribute with teaching to the MSc in IT and Cognition. More specifically, the candidate is expected to contribute to the Language Processing courses and to supervise students for thesis and electives projects within computational linguistics and NLP. For details about the qualification requirements and the application procedure: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=15… For further information about the position, please contact Head of Department, Anne Jensen, e-mail: annejensen(a)hum.ku.dk<javascript:void(0)> or Deputy Head of Department for research Bolette S. Pedersen, bspedersen(a)hum.ku.dk<javascript:void(0)>. The closing date for applications is 1 August 2022 at 23:59 [*CEST/CET] · Costanza Navarretta PhD, senior researcher/assoc.professor Centre for Language Technology Department of Nordic Studies and Linguistics University of Copenhagen DIR +45 35329079 costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>

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by Liudmila Rychkova 30 Jun '22

30 Jun '22

-- Liudmila Rychkova

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SIGSEM election: update your participation to its mailing list
by Raffaella Bernardi 30 Jun '22

30 Jun '22

Dear all, It is time to elect SIGSEM officers for the next three-year term. Candidates will be nominated via the SIGSEM mailing list [1]. If you would like to take part in the nomination and election process, make sure to be registered in the SIGSEM mailing list with the email address you check regularly. Best, Raffaella On Behalf of SIGSEM Board [1] http://www.sigsem.org/wiki/index.php?title=Join_SIGSEM ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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[CfP] 2nd SummDial: A SemDial 2022 Special Session on Summarization of Dialogues and Multi-Party Meetings
by Tirthankar Ghosal 30 Jun '22

30 Jun '22

***2nd SummDial: A SemDial 2022 <https://semdial2022.github.io/#> Special Session on Summarization of Dialogues and Multi-Party Meetings*** ***Website: https://elitr.github.io/automatic-minuting/summdial-2022.html *** ***Submission Deadline: August 1, 2022 *** ***Event Date: August 24, 2022 *** With a sizeable working population of the world going virtual, resulting in information overload from multiple online meetings, imagine how convenient it would be to just hover over past calendar invites and get concise summaries of the meeting proceedings? How about automatically minuting a multimodal multi-party meeting? Are minutes and multi-party dialogue summaries the same? We believe Automatic Minuting is challenging. There are possibly no agreed-upon guidelines for taking minutes, and people adopt different styles to record meeting minutes. The minutes also depend on the meeting's category, the intended audience, and the goal or objective of the meeting. We hosted the First SummDial Special Session at SIGDial 2021. Several significant problems and challenges in multi-party dialogue and meeting summarization came from the discussions in the first SummDial, which we documented in our event report <https://dl.acm.org/doi/10.1145/3527546.3527561>. Since we witnessed enthusiastic participation of the dialogue and summarization community in the first SummDial special session <https://elitr.github.io/automatic-minuting/summdial.html> ( https://elitr.github.io/automatic-minuting/summdial.html), we are hosting the Second SummDial special session at SemDial 2022 <https://semdial2022.github.io/#> (https://semdial2022.github.io/#). This year, we intend to continue discussing these challenges and lessons learned from the previous SummDial. Our goal for this special session would be to stimulate intense discussions around this topic and set the tone for further interest, research, and collaboration in both Speech and Natural Language Processing communities. Our topics of interest are Dialogue Summarization, including but not limited to Meeting Summarization, Chat Summarization, Email Threads Summarization, Customer Service Summarization, Medical Dialogue Summarziation, and Multi-modal Dialogue Summarization. Our shared task on Automatic Minuting (AutoMin) at Interspeech 2021 was another community effort in this direction. Our shared task on Automatic Minuting (AutoMin) <https://elitr.github.io/automatic-minuting/> at Interspeech 2021 <https://www.interspeech2021.org/> was another community effort in this direction. ***Call for papers*** We invite regular and work-in-progress papers that report: - Current research in multi-party dialogue summarization for summarizing meetings, spoken dialogue, using speech, text, or multi-modal data (audio, video), - Challenges in dialogue summarization evaluation (manual + automatic), - New methods and metrics for dialogue summarization evaluation, - Relevant corpus collection, pre-processing, development, and ethical issues involved, - Compare and contrast speech-specific systems to systems imported from text summarization, - Tools for meeting transcript generation and automatic summarization, - Topic detection and span identification in meeting transcripts for multi-topic summarization, - Position papers to reflect on the current state of the art in this topic, to take stock of where we have been, where we are, where we are going and where we should go. Researchers may choose to submit: - ***Long papers*** Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). - ***Short papers*** Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. - ***Position Papers*** Including extended abstracts, work-in-progress, and late-breaking papers. ***Submission Link*** https://easychair.org/my/conference?conf=summdial2022 Submissions should follow the ACL format. Papers that have been or will be submitted to other meetings or publications must provide this information using a footnote on the title page of the submissions. SummDial 2022 cannot accept work for a publication that will be (or has been) published elsewhere. ***Special Session Program*** The special session would consist of a keynote, a panel, oral and/or poster paper presentations. ***Organizers*** - Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal/>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic - Muskaan Singh, IDIAP, Switzerland - Xinnou Xu, University of Edinburgh, UK - Ondřej Bojar <https://ufal.mff.cuni.cz/ondrej-bojar>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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Workshop on Pronouns and Machine Translation
by Gongbo Tang 29 Jun '22

29 Jun '22

Dear colleagues, We are delighted to invite you to our public Workshop on Pronouns and Machine Translation, which will be held on-line on 19 August 2022. The workshop features a series of lectures on recent work related to understanding, modelling and evaluating pronouns and other discourse-level phenomena in neural machine translation and a panel discussion. Here is the link to the workshop: https://christianhardmeier.rax.ch/workshop/pronouns-and-mt-2022/ **Registration** Registration is free. Please sign up with the following link: https://uu-se.zoom.us/meeting/register/u50rd-qgrjoiGtK8YvlWZ1hecbzHsxp9oBRa **Draft Schedule** (Titles and abstracts will be available around the 10th August.) Time (UTC+2) Speaker 11:00-11:45 Sheila Castilho, ADAPT Centre, Dublin City University 11:45-12:30 Deyi Xiong, Tianjin University 12:30-13:00 Christian Hardmeier, Uppsala University/IT University of Copenhagen 13:00-13:30 Prathyusha Jwalapuram, Nanyang Technological University 13:30-14:00 Break 14:00-14:30 Panel discussion 14:30-15:00 Gongbo Tang, Uppsala University 15:00-15:30 Biao Zhang, University of Edinburgh 15:30-16:00 Kayo Yin, DeepMind/UC Berkeley Best Regards, Christian Hardmeier and Gongbo Tang När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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PhD position (Orsay and Montréal) : Statistical analyses of lexical distributions with an application to anomaly detection in natural texts
by François Yvon 29 Jun '22

29 Jun '22

[apologies for cross-posting] Dear all, We are offering a fully funded PhD position at the crossroads between Natural Language Processing and Information Theory. The proposed title is "Statistical analyses of lexical distributions with an application to anomaly detection in natural texts", and the thesis will be jointly supervised by: - François Yvon (LISN, CNRS), - Pablo Piantanida (ILLS, CNRS - University of Paris-Saclay) Application deadline: July 14th, 2022 The thesis will be a collaboration between LISN (Laboratoire Interdisciplinaire des Sciences du Numérique) of Université Paris-Saclay and the ILLS (International Laboratory on Learning Systems) of McGill University jointly with ETS Montreal and MILA (Institut québécois d'intelligence artificielle) in Canada. Further information are available on the respective web sites: - LISN: https://www.lisn.upsaclay.fr/ - ILLS: https://www.mcgill.ca/channels/fr/channels/news/un-laboratoire-internationa… Applications should be submitted only via this link, where more information about the position is available: https://emploi.cnrs.fr/Gestion/Offre/Default.aspx?Ref=UMR9015-FRAYVO-009 If you are interested, please submit your application including the following elements: • Detailed CV, • Letter of motivation, • Details of transcripts (especially M1 and M2), • Elements of bibliography or personal achievements related to a research activity (e.g. master project, research internship subject, etc.), • 2 recommendation letters François Yvon and Pablo Piantanida --- F. Yvon LISN/CNRS 01 69 15 82 42 rue John Von Neumann Campus Universitaire d'Orsay - Bâtiment 508 91 405 Orsay Cédex http://perso.limsi.fr/yvon

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Two Open PhD Positions in Machine Learning at the Chair for Data Science in Würzburg
by Albin Zehe 29 Jun '22

29 Jun '22

The Data Science Chair at JMU Würzburg [1] as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions are bound to a project, with an initial duration of two years with the possibility of further extension. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the projects. The first project is focused on the development and application of methods to enrich live chats of typical stream platforms like Twitch.tv with links to relevant information: you will work with industry partners to analyse the current topics of discussions in live chats and provide links to the partners' websites with information about these topics. This will be done, for example, by developing metric learning methods to find accurate representations of the available content and matching them with the current topics as well as the users' interests. The second project, HydrAS [2] has a stronger focus on theoretical research. Here, you have the opportunity to work on our HypTrails method, which can be used to compare different hypotheses about user behaviour by means of bayesian statistics. HydrAS aims to extend this method with (semi-)automatic generation and testing of hypotheses as well as include more powerful statistical models like continuous time Markov chain models. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than July 15th, 2022, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://www.informatik.uni-wuerzburg.de/datascience/home/ [2] https://gepris.dfg.de/gepris/projekt/438232455?context=projekt&task=showDet… — Albin Zehe Chair for Computer Science X — Data Science University of Würzburg Am Hubland 97074 Würzburg phone.: +49-(0)931-31-83217 https://www.informatik.uni-wuerzburg.de/datascience/staff/zehe/

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Call for Papers: The 20th Annual Workshop of the Australasian Language Technology Association (ALTA 2022)
by pradeesh＠cs.otago.ac.nz 29 Jun '22

29 Jun '22

******************************************************************************************* 20th Annual Workshop of the Australasian Language Technology Association (ALTA 2022) ** Flinders University, Adelaide (Hybrid) ** 14th - 16th December 2022 http://alta2022.alta.asn.au/ ******************************************************************************************* Important Dates Submission Deadline (short and long papers): 30 September, 2022 Submission Deadline (presentation abstracts) 7 October, 2022 Author Notification: 7 November, 2022 Camera-Ready Deadline: 15 November, 2022 Tutorials: 14 December, 2022 Main Conference: 15-16 December, 2022 Submission deadlines are UTC-11 Overview The 20th Annual Workshop of the Australasian Language Technology Association will be held in a hybrid format at Flinders University, Adelaide, from the 14th to the 16th of December 2022. The hybrid format gives participants a valuable opportunity to socialise either in-person or via online platform. The ALTA 2022 workshop is the key local forum for socialising research results in natural language processing and computational linguistics, with presentations and posters from students, industry, and academic researchers. Like previous years, we would also like to encourage submissions and participation from industry and government researchers and developers. Note that ALTA is listed in recently updated CORE 2021 Conference Rankings as Australasian B. Topics ALTA invites the submission of papers and presentations on all aspects of natural language processing, including, but not limited to: -phonology, morphology, syntax, semantics, pragmatics, and discourse -speech recognition, understanding and generation -interpreting spoken and written language -natural language generation -linguistic, mathematical, and psychological models of language -NLP-based information extraction and retrieval -corpus-based and statistical language modelling -machine translation and translation aids -question answering and information extraction -natural language interfaces and dialogue systems -natural language and multimodal systems -message and narrative understanding systems -evaluations of language systems -embodied conversational agents -computational lexicography -summarisation -language resources -topic modelling, semantics and ontology -unsupervised language learning and analysis -social media analysis and processing -search and information retrieval -domain-specific adaptation of natural language processing algorithms -applied natural language processing and/or applications in industry We particularly encourage submissions that broaden the scope of our community through the consideration of practical applications of language technology and through multi-disciplinary research. We also specifically encourage submissions from industry. Format We invite submissions of two different formats: (1) Original Research Papers and (2) Abstract-based Presentations. (1) Original Research Papers We invite the submission of papers on original and unpublished research on all aspects of natural language processing. Long papers should be 6-8 pages and short papers should be 3-4 pages. Accepted papers will either be delivered as an oral presentation or as a poster presentation. Both short and long papers may include unlimited pages of references in addition to the page count requirements. Note that the review process is double-blind, and accordingly submitted papers should not include the identity of author(s) and the text should be suitably anonymised, e.g. using third person wording for self-citations, not providing URLs to your person website, etc. Original research papers will be included in the workshop proceedings, which will be published online in the ACL anthology and the ALTA website. Long papers will be distinguished from short papers in the proceedings. (2) Abstract-based Presentations To encourage broader participation and facilitate local socialisation of international results, we invite 1-2 page presentation abstracts. The organisers may offer the opportunity to give an oral presentation or a poster presentation. Submissions should include presentation title and abstract, name of the presenter, any publications relating to the work, and any information on collaboration with the local ALTA community. Abstracts will not be published in the proceedings, but simply reviewed by the ALTA executive committee to ensure that they are on topic, coherent and likely to be of interest to the ALTA community. Abstracts on work in progress and work published or submitted elsewhere are encouraged. ALTA invites submissions of all manner interesting research, not limited to, but including: established academics giving an overview of an exciting paper or paper/s published in international venues; completing research students giving an overview of their thesis work; early candidature research students presenting their work-in-progress and ideas, which may not have been published; and industry presenting research and development over linguistic data in the context of their business. Presentation abstracts should not be anonymised, any publications relating to the work should be cited in the submission, and the person who will give the presentation should be clearly stated. Multiple Submission Policy Original research papers that are under review for other publication venues or that you intend to submit elsewhere may be submitted in parallel to ALTA. We require that you declare at submission that your paper is submitted to another venue, and identify the venue. Should your paper be accepted to both ALTA and another venue, we allow you to decide whether the paper should be published in the ALTA proceedings, or if it should be treated as a Presentation (without archival publication). In this case you would still be able to present a research talk at the ALTA workshop. This is to encourage more internationally leading research to be presented at the workshop. Instructions for Authors Authors should submit their papers via Easychair (https://easychair.org/conferences/?conf=alta2022) There are 3 tracks in EasyChair this year: ALTA 2022 (Long) – use this for long papers ALTA 2022 (Short) – use this for short papers ALTA 2022 (Abstracts) – use this for abstracts Formatting Guidelines Submissions must follow the two-column ACL format Paper Length Long papers should be 6-8 pages Short papers should be 3-4 pages Abstracts ideally should be a few paragraphs and no more than 2 pages Anonymisation Short and long papers must be anonymised. Abstracts are NOT to be anonymised and must include the author's/authors' affiliation

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[Corpora-List]First Call for Papers: EvoNLP (The First Workshop on Ever Evolving NLP) + Shared task
by Jose Camacho Collados 28 Jun '22

28 Jun '22

************************************ Call for Papers: EvoNLP - The First Workshop on Ever Evolving NLP + Shared task Workshop: https://sites.google.com/view/evonlp/ Shared Task: https://sites.google.com/view/evonlp/shared-task Submission deadline (for papers requiring review / non-archival): 10 October, 2022 Submission deadline (with ARR reviews): 25 October, 2022 Notification of acceptance: 31 October, 2022 Camera-ready paper deadline: 11 November, 2022 Workshop date: 7 December, 2022 ************************************ Advances in language modeling have led to remarkable accuracy on several NLP tasks, but most benchmarks used for evaluation are static, ignoring the practical setting under which training data from the past and present must be used for generalizing to future data. Consequently, training paradigms also ignore the time sensitivity of language and essentially treat all text as if it was written at a single point in time. Recent studies have shown that in a dynamic setting, where the test data is drawn from a different time period than the training data, the accuracy of such static models degrades as the gap between the two periods increases. -------------------------------------------------------------- This workshop focuses on these time-related issues in NLP models and benchmarks. We invite researchers from both academia and industry to redesign experimental settings, benchmark datasets, and modeling by especially focusing on the “time” variable. We will welcome papers / work-in-progress on several topics including (but not limited to): - Dynamic Benchmarks: Evaluation of Model Degradation in Time Measuring how NLP models age Random splits vs time-based splits (past/future) Latency (days vs years) at which models need to be updated for maintaining task accuracy Time-sensitivity of different tasks and the type of knowledge which gets stale Time-sensitivity of different domains (e.g., news vs scientific papers) and how domain shifts interact with time shifts Sensitivity of different models and architectures to time shifts - Time-Aware Models Incorporating time information into NLP models Techniques for updating / replacing models which degrade with time Learning strategies for improving temporal degradation Trade-offs between updating a degraded model vs replacing it altogether Mitigating catastrophic forgetting of old knowledge as we update models with new knowledge Improving plasticity of models so that they can be easily updated Retrieval based models for improving temporal generalization - Analysis of existing models / datasets Characterizing whether degradation on a task is due to outdated facts or changes in language use Effect of model scale on temporal degradation – do large models exhibit less degradation? Efficiency / accuracy trade-offs when updating models -------------------------------------------------------------- All accepted papers will be published in the workshop proceedings unless requested otherwise by the authors. Submissions can be made either via OpenReview where they will go through the standard double-blind process, or through ACL Rolling Review with existing reviews. See details below. ---- Submission guidelines ---- We seek submissions of original work or work-in-progress. Submissions can be in the form of long/short papers and should follow the ACL main conference template. Authors can choose to make their paper archival/non-archival. All accepted papers will be presented at the workshop. Archival track We will follow double-blind review process and use OpenReview for the submissions. We also will accept ACL rolling review (ARR) submissions with reviews. Since these submissions already come with reviews, the submission deadline is much later than the initial deadline. We will use Open Review for the submissions. Submission link: https://openreview.net/group?id=EMNLP/2022/Workshop/EvoNLP For papers needing review click “EMNLP 2022 Workshop EvoNLP submission” For papers from ARR click “EMNLP 2022 Workshop EvoNLP commitment Submission” ---- Non-archival track ---- Non-archival track seeks recently accepted / published work as well as work-in-progress. It does not need to be anonymized and will not go through the review process. The submission should clearly indicate the original venue and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop. Submission: Please email your submission as a single PDF file to evonlp(a)googlegroups.com. Include “EvoNLP Non-Archival Submission” in the title and the author names and affiliation within the body of your email. ---- Shared task ---- The workshop will feature a shared task on meaning shift detection in social media. Initial data already available! Winners of the shared task will also receive a cash prize. More details at the workshop website :https://sites.google.com/view/evonlp/shared-task. Best paper award Thanks to generous support from our sponsors Snap Inc, we will award the best paper award (with cash prize) to one of the submissions selected by our program committee and organizing committee. The best paper will be given the opportunity for a lightning talk to introduce their work. -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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[Corpora-List]NLP Special Issue of "Mathematics" is out !
by Florentina Hristea 28 Jun '22

28 Jun '22

Dear all, On behalf of "Mathematics", Cornelia Caragea and I are happy to let you know that the NLP Special Issue has been closed. You can check it out here: https://www.mdpi.com/journal/mathematics/special_issues/Natural_Language_Pr… We thank the contributors and hope to meet you all on the occasion of the new Special Issue that will be launched soon. "Mathematics" has increased its Impact Factor as of today (new IF 2.592) and ranks 21/332 (Q1) in the category 'Mathematics'. Florentina Hristea

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[Corpora-List]Call for Paper: TextGraphs 2022 - 16th Workshop on Graph-based Natural Language Processing
by Yanjun Gao 28 Jun '22

28 Jun '22

(Apologize for cross-posting) Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs) Venue: COLING 2022 Location: Gyeongju, Republic of Korea Date: October 16, 2022 Papers Due: July 11, 2022 (Monday) Submission Site: https://www.softconf.com/coling2022/TextGraphs-16/ Workshop Website: https://sites.google.com/view/textgraphs2022 Workshop Description For the past sixteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. The sixteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) integration and joint training and use of transformer-based models for graphs and text (such as Graph-BERT and BERT), and (2) domain-specific natural language inference. Related to the former point, we would like to advance the state-of-the-art natural language understanding facilitated with large-scale language models like GPT-3 and linguistic relationships represented by graph neural networks. Related to the latter point, we are interested in addressing a challenging task contributing to mathematical proof discovery. Furthermore, we also encourage research on applications of graph-based methods in knowledge graphs to link them to related NLP problems and applications. TextGraphs-16 invites submissions on (but not limited to) the following topics * Graph-based and graph-supported machine learning methods: Graph embeddings and their combinations with text embeddings; Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks); Probabilistic graphical models and structure learning methods * Graph-based methods for Information Retrieval and Extraction: Graph-based methods for word sense disambiguation; Graph-based strategies for semantic relation identification; Encoding semantic distances in graphs; Graph-based techniques for text summarization, simplification, and paraphrasing; Graph-based techniques for document navigation and visualization * New graph-based methods for NLP applications: Random walk methods in graphs; Semi-supervised graph-based methods * Graph-based methods for applications on social networks * Graph-based methods for NLP and Semantic Web: Representation learning methods for knowledge graphs; Using graphs-based methods to populate ontologies using textual data Important dates * Papers Due: July 11, 2022 (Monday) * Notification of Acceptance: August 22, 2022 (Monday) * Camera-ready papers due: September 5, 2022 (Monday) * Conference date: October 12-17, 2022 * Shared task: TBD Submission * We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. * The COLING 2022 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Download the Word and LaTeX templates here: https://coling2022.org/Cpapers<https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FCpapers&sa=D&sn…>. * Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site. Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369<https://www.google.com/url?q=https%3A%2F%2Fwww.facebook.com%2Fgroups%2F9007…>. Organizers * Dmitry Ustalov, Yandex * Yanjun Gao, University of Wisconsin-Madison * Abhik Jana, University of Hamburg * Thien Huu Nguyen, University of Oregon * Gerald Penn, University of Toronto * Arti Ramesh, Binghamton University * Alexander Panchenko, Skolkovo Institute of Science and Technology (Skoltech) * Mokanarangan Thayaparan, University of Manchester & Idiap Research Institute * Marco Valentino, University of Manchester & Idiap Research Institute -- Yanjun Gao, Ph.D. Computer Science and Engineering Postdoctoral Research Associate, ICU Data Science Lab Department of Medicine School of Medicine and Public Health University of Wisconsin-Madison https://serenayj.github.io/

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[Corpora-List]Final Call for Papers: The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022)
by jackh＠allenai.org 28 Jun '22

28 Jun '22

The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022, Co-located with EMNLP 2022) Website: https://conll.org/ SIGNLL invites submissions to the 26th Conference on Computational Natural Language Learning (CoNLL 2022). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include: - Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP - Models of first, second and bilingual language acquisition by humans - Models of language evolution and change - Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments - Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods - Data resources, techniques and tools for scientifically-oriented research in computational linguistics - Connections between computational models and formal languages or linguistic theories - Linguistic typology, translation, and other multilingual work - Theoretically, cognitively and scientifically motivated approaches to text generation We welcome work targeting any aspect of language, including: - Speech and phonology - Syntax and morphology - Lexical, compositional and discourse semantics - Dialogue and interactive language use - Sociolinguistics - Multimodal and grounded language learning We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submitted papers must be anonymous and use the EMNLP 2022 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed, according to the EMNLP 2022 guidelines. Please refer to the EMNLP 2022 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system. Note that, unlike EMNLP, we do not mandate that papers have a section discussion limitations of the work. However, we strongly encourage authors have such a section in the appendix. CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2022 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2022. Multiple submission policy CoNLL 2022 will not accept papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere as well as papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2022 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. CoNLL 2022 has the same policy as EMNLP 2022 regarding ARR submissions. This means that CoNLL 2022 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline. We follow the EMNLP policy for papers that were previously submitted to ARR, or significantly overlap (>25%) with such submissions. Important Dates Anonymity period begins: May 30th, 2022 Submission deadline for START direct submissions: Thursday June 30th, 2022 Commitment deadline for ARR papers: August 1st, 2022 Notification of acceptance: Mid-September, 2022 Camera ready papers due: October 15th, 2022 Conference: December 7th, 8th, 2022 All deadlines are at 11:59pm UTC-12h ("anywhere on earth").

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WMT 2022 Quality Estimation Shared Tasks, Call for Participation
by Chrysoula Zerva 28 Jun '22

28 Jun '22

Dear all, we invite you to participate in this year's WMT shared tasks on Quality Estimation, where the goal is to predict the translation quality based on just the source and translation text. This year we introduce the following new elements: - Updated quality annotation scheme: the majority of the tasks uses Multidimensional Quality Metrics (MQM) instead of direct assessments (DA); - QE as a Metric: we share part of the data used in this year's Metrics task, to promote research that bridges the two domains; - New language pairs: English-Marathi, with sentence level and word level annotations (direct assessments) and a _surprise_ language pair in the testing phase; - An explainability subtask, following up on the 1st edition of Eval4NLP shared task; - Updated data and task definition for the critical error detection task. ## Tasks description Task 1 -- Quality prediction - Word-level: predict the translation errors, assigning OK/BAD tags to each word of the target. - Sentence-level: predict the quality score for each source-target sentence pair. Task 2 -- Explainable QE Infer translation errors as an explanation for sentence-level quality scores. Task 3 -- Critical Error Detection Predict sentence-level binary scores indicating whether or not a translation contains a critical error. Links to the data on the QE shared task website: https://wmt-qe-task.github.io/ ## Important dates: - Release of training data: 30 May - Release of dev data: TBA - Release of test data: 21 July - Test predictions deadline: 16 August - System description paper: 18 August - Conference: 7-8 December To ask questions and receive the latest announcements, join our Google Group: https://groups.google.com/g/wmt-qe-shared-task/ Best, The organisers.

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[Corpora-List]Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs 2022)
by Yanjun Gao 28 Jun '22

28 Jun '22

Call for Paper: 16th Workshop on Graph-based Natural Language Processing (TextGraphs) Venue: COLING 2022 Location: Gyeongju, Republic of Korea Date: October 16, 2022 Papers Due: July 11, 2022 (Monday) Workshop Description For the past sixteen years, the workshops in the TextGraphs series have published and promoted the synergy between the field of Graph Theory (GT) and Natural Language Processing (NLP). The mix between the two started small, with graph-theoretical frameworks providing efficient and elegant solutions for NLP applications. Graph-based solutions initially focused on single-document part-of-speech tagging, word sense disambiguation, and semantic role labeling. They became progressively larger to include ontology learning and information extraction from large text collections. Nowadays, graph-based solutions also target Web-scale applications such as information propagation in social networks, rumor proliferation, e-reputation, multiple entity detection, language dynamics learning, and future events prediction, to name a few. We plan to encourage the description of novel NLP problems or applications that have emerged in recent years, which can be enhanced with existing and new graph-based methods. The sixteenth edition of the TextGraphs workshop aims to extend the focus on graph-based representations for (1) integration and joint training and use of transformer-based models for graphs and text (such as Graph-BERT and BERT), and (2) domain-specific natural language inference. Related to the former point, we would like to advance the state-of-the-art natural language understanding facilitated with large-scale language models like GPT-3 and linguistic relationships represented by graph neural networks. Related to the latter point, we are interested in addressing a challenging task contributing to mathematical proof discovery. Furthermore, we also encourage research on applications of graph-based methods in knowledge graphs to link them to related NLP problems and applications. TextGraphs-16 invites submissions on (but not limited to) the following topics * Graph-based and graph-supported machine learning methods: Graph embeddings and their combinations with text embeddings; Graph-based and graph-supported deep learning (e.g., graph-based recurrent and recursive networks); Probabilistic graphical models and structure learning methods * Graph-based methods for Information Retrieval and Extraction: Graph-based methods for word sense disambiguation; Graph-based strategies for semantic relation identification; Encoding semantic distances in graphs; Graph-based techniques for text summarization, simplification, and paraphrasing; Graph-based techniques for document navigation and visualization * New graph-based methods for NLP applications: Random walk methods in graphs; Semi-supervised graph-based methods * Graph-based methods for applications on social networks * Graph-based methods for NLP and Semantic Web: Representation learning methods for knowledge graphs; Using graphs-based methods to populate ontologies using textual data Important dates * Papers Due: July 11, 2022 (Monday) * Notification of Acceptance: August 22, 2022 (Monday) * Camera-ready papers due: September 5, 2022 (Monday) * Conference date: October 12-17, 2022 * Shared task: TBD Submission * We invite submissions of up to eight (8) pages maximum, plus bibliography for long papers and four (4) pages, plus bibliography, for short papers. * The COLING 2022 templates must be used; these are provided in LaTeX and also Microsoft Word format. Submissions will only be accepted in PDF format. Download the Word and LaTeX templates here: https://coling2022.org/Cpapers<https://www.google.com/url?q=https%3A%2F%2Fcoling2022.org%2FCpapers&sa=D&sn…>. * Submit papers by the end of the deadline day (timezone is UTC-12) via our Softconf Submission Site. Contact Please direct all questions and inquiries to our official e-mail address (textgraphsOC(a)gmail.com<mailto:textgraphsOC@gmail.com>) or contact any of the organizers via their individual emails. Also you can join us on Facebook: https://www.facebook.com/groups/900711756665369<https://www.google.com/url?q=https%3A%2F%2Fwww.facebook.com%2Fgroups%2F9007…>. Organizers * Dmitry Ustalov, Yandex * Yanjun Gao, University of Wisconsin-Madison * Abhik Jana, University of Hamburg * Thien Huu Nguyen, University of Oregon * Gerald Penn, University of Toronto * Arti Ramesh, Binghamton University * Alexander Panchenko, Skolkovo Institute of Science and Technology (Skoltech) * Mokanarangan Thayaparan, University of Manchester & Idiap Research Institute * Marco Valentino, University of Manchester & Idiap Research Institute -- Yanjun Gao, Ph.D. Computer Science and Engineering Postdoctoral Research Associate, ICU Data Science Lab Department of Medicine School of Medicine and Public Health University of Wisconsin-Madison https://serenayj.github.io/

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[Corpora-List]3rd CFP and deadline extension: CL for Political Text Analysis (CPSS)
by Ines Rehbein 28 Jun '22

28 Jun '22

Call for Papers: 3rd Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2022) https://gscl.org/en/arbeitskreise/cpss/cpss-2022/cfp-2022 * Workshop description * Recent years have seen more and more applications of computational methods to the analysis of political texts. This has led to the emergence of different communities (one with a background in political / social science and the other in the areas of NLP/computer science) which struggle to get awareness of the relevant work taking place in the respective other community. The main goal of this workshop is to bridge this gap and bring together researchers and ideas from the different communities, to foster collaboration and catalyze further interdisciplinary research efforts. *Keynote* by David Jurgens https://jurgens.people.si.umich.edu/ * Important Dates * Workshop papers due: **10.07.2022** (extended) Notification of acceptance: 10.08.2022 Camera-ready papers due: 01.09.2022 Workshop date: 12.09.2022 * Submissions * We welcome submissions of long and short papers, posters, and demonstrations relating to any aspect of Political Text Analysis using computational methods. Our workshop will accept two types of submissions: * archival papers describing original and unpublished work * non-archival papers (abstracts) that present already published research or ongoing work. The availability of both submission formats will meet the different needs of researchers from different communities, allowing them to come together and exchange ideas in an "get to know each other" environment which is likely to foster future collaborations. * Special Theme and Panel * The workshop will host a panel with invited speakers from the different communities, with a focus on theory-driven modelling of complex political or socio-psychological constructs in text, such as populism, polarisation or political cynicism. The panel will discuss challenges for modelling such multifaceted concepts from a theoretical as well as from a machine learning point of view, and how such models can be evaluated in a meaningful way. For more information, please refer to the workshop website: gscl.org/en/arbeitskreise/cpss/cpss-2022 If you have any questions, please feel free to contact the program co-chairs: ines(a)informatik.uni-mannheim.de * Organisers * * Ines Rehbein (U-Mannheim) * Christopher Klamm (U-Mannheim) * Gabriella Lapesa (U-Stuttgart) * Simone Ponzetto (U-Mannheim) -- Ines Rehbein Data and Web Science Group University of Mannheim, Germany

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[Corpora-List]Translation in Transition 6: Call for participation
by Michal Křen 27 Jun '22

27 Jun '22

[apologies for cross-posting] Dear colleagues, we would like to invite you to take part in the Translation in Transition conference that will be held in Prague on 22-23 September 2022. The conference will be held in hybrid form, which means that you can choose between online and in-person participation. The registration is still open for non-presenting participants: https://tt2022.ff.cuni.cz/registration/ Please find more details in the newly released Call for participation: https://tt2022.ff.cuni.cz/calls-and-circulars/call-for-participation/ Regards, Michal Křen (on behalf of the organizing committee)

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[Corpora-List]2nd CfP: Onto4FAIR Workshop at SEMANTICS 2022 (deadline extension)
by Cassia 27 Jun '22

27 Jun '22

** With apologies for multiple posting ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 -------------- 1st Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR) in conjunction with SEMANTiCS 2022, Vienna, Austria Website: https://onto4fair.github.io -------------- Important dates -------------- - **July 04, 2022 (11:59 pm, Hawaii time)**: Submission deadline (extension) - July 30, 2022 (11:59 pm, Hawaii time): Notification of acceptance - August 15, 2022 (11:59 pm, Hawaii time): Camera-ready version - September 13, 2022: Workshop The workshop is planned to take place physically in Vienna, Austria. https://2022-eu.semantics.cc/venue -------------- Presentation -------------- Making the huge and diverse kinds of data produced by researchers, data stewards, and service providers, fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for data reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications, including in the industrial area. A key aspect in making data FAIR is the ability of machines to automatically find, access, interoperate, and reuse data with none or minimal human intervention. For that, the ability of properly and semantically describing data is essential. The workshop has the following main goals: - to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in real-world requirements. - to serve to inform industry and user representatives about existing research efforts that may meet their requirements. - to investigate how the FAIR principles are supported by the use of schemes, vocabulaires, and ontologies that ideally are themselves FAIR.%, including creation, reuse and alignment of schemas, vocabularies and ontologies, to support the FAIR principles and their adoption in diverse areas of application. - to discuss the challenges and perspectives in adopting FAIR principles. -------------- Workshop topics -------------- The topics of interest include, but are not limited to, the following: - schemes, ontologies and vocabulaires for FAIR data and metadata; - domain and cross-domain ontologies for FAIR data; - making vocabularies and ontologies FAIR; - alignment of schemes, vocabulaires and ontologies for FAIR; - data management for FAIR data; - best practices for implementing the FAIR principles; - FAIRification process and use cases; - metrics for FAIRness assessment; - provenance in FAIR environments; - FAIR principles and open science; - FAIR principles and linked open data; - FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.). -------------- Submissions -------------- - Full research papers: 12 pages (including references). - Short papers: 6 pages (including references). Please submit your contribution on EasyChair ( https://easychair.org/conferences/submissions?a=28690100). Submissions must be in PDF, formatted in the style of LNCS conference proceedings. The workshop proceedings will be published in the CEUR-WS.org online proceedings. -------------- Workshop Chairs -------------- - Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands - Giancarlo Guizzardi, Free University of Bozen-Bolzano, Italy & University of Twente, the Netherlands - Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France - Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France -------------- Program Committee -------------- (to be completed) Joao Paulo Almeida, Federal University of Espirito Santo Emna Amdouni, Université de Lyon 2 Nathalie Aussenac-Gilles, IRIT CNRS Maria Luiza Campos, PPGI - IM/NCE - Federal University of Rio de Janeiro Daniel Garijo, Universidad Politécnica de Madrid María Poveda-Villalón, Universidad Politécnica de Madrid Tiago Prince Sales, Free University of Bozen-Bolzano

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Deadline approaching: Open Position in Online Toxicity Mitigation at Heriot-Watt University, Edinburgh
by Abercrombie, Gavin 27 Jun '22

27 Jun '22

* Title: Research Associate in Online Toxicity Mitigation * Location: Heriot-Watt University, Edinburgh, UK * Duration: full-time position, 12-36 months * Deadline: 22 July 2022 * Contact: Prof. Verena Rieser [v.t.rieser(a)hw.ac.uk] This is an exciting opportunity to work within multi-disciplinary team to develop novel toxicity mitigation techniques for a project funded by the UK Research Council to detect and mitigate online Gender Based Violence (GBV). You will be closely collaborating with teams of researchers working in NLP, Social Science and Education. The project is hosted at the Interaction Lab (http://www.macs.hw.ac.uk/InteractionLab), one of the biggest research groups in Conversational AI, and is in collaboration with the University of Edinburgh and third sector charities specialising in online abuse and GBV. We are looking for candidates with a PhD and expertise in neural approaches to natural language generation, or closely related fields, and with a proven publication track record in ACL* venues etc. To apply, please follow the instructions here: https://enzj.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/j… ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system.

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[Corpora-List]LxGr2022: Programme and Call for Participation
by Costas Gabrielatos 27 Jun '22

27 Jun '22

Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Programme and Call for Participation Registration closes on Thursday 7 July, 10am (BST). The symposium will take place online on Friday 8 & Saturday 9 July 2022. Programme & Registration: https://ehu.ac.uk/lxgr Abstracts: https://www.academia.edu/82101749 and https://www.researchgate.net/publication/361490343 For more information, contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[Corpora-List]Rome Workshop on 10 Years of BabelNet and Multilingual Neurosymbolic NLU
by Roberto Navigli 27 Jun '22

27 Jun '22

It is my pleasure to invite you all to the Workshop on 10 Years of BabelNet and Multilingual Neurosymbolic NLU <http://mousse-project.org/events/event-a5f3r5.html> which will take place in *Rome*, at *Sapienza*, Department of Computer, Control and Management Engineering (DIAG), on *4-5 July*. The workshop includes a *slate of invited speakers *who will participate in person, including in Dagstuhl-like brainstorming sessions, and is *open online to all interested attendees* (sign up here <https://docs.google.com/forms/d/e/1FAIpQLSc5yVnaxXsT5t63_peEvZOTw3CyY-oIPEz…>). We will celebrate the most far-reaching and novel multilingual dictionary and knowledge base, BabelNet <https://babelnet.org>, a popular resource currently used by* more than 1000 universities and research institutions*, and discuss the future of neurosymbolic approaches to multilingual Natural Language Understanding. BabelNet is an output of the Sapienza NLP <https://nlp.uniroma1.it> Group and two ERC projects acknowledged among the 15 projects through which the ERC "transformed science" <https://erc.europa.eu/how-ERC-transformed-science/stories.html>, but it also led to the creation of a spinoff company, Babelscape <https://babelscape.com>, that is one of the most successful in the Sapienza startup portfolio. Notably, besides the ERC and Babelscape, this event is also co-sponsored by Accademia della Crusca <https://accademiadellacrusca.it/> (the oldest linguistic academy in the world), the Artificial Intelligence Journal <https://www.journals.elsevier.com/artificial-intelligence> and the European Language Grid <https://www.european-language-grid.eu/>. A *new updated version of BabelNet will be available* in conjunction with the event together with the *brand-new Python API* (available on PyPi <https://pypi.org/project/babelnet/>)! A smartphone app is also available on Android and iPhone. Enjoy! -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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[Corpora-List]Third CfP MUMTTT 2022 - The 5th Workshop on Multi-word Units in Machine Translation and Translation Technology (Malaga)
by Giulia Speranza 27 Jun '22

27 Jun '22

*apologies for cross-posting* http://lexytrad.es/europhras2022/mumttt-2022-2/ The 5th Workshop on Multi-word Units in Machine Translation and Translation Technology(MUMTTT 2022) Malaga, 30th September 2022 In conjunction with EUROPHRAS 2022 – International Conference “‘Computational and Corpus-based Phraseology’” Third Call for Papers Following the success of the previous editions of the workshops on Multi-word Units in Machine Translation and TranslationTechnology–the 2013 edition at the MT Summit in Nice, France, and the editions at the European Society of Phraseology Conference in Malaga, Spain (2015 and 2019), in London, UK (2017) we are announcing the fifth edition to be held in conjunction with the International Conference “Computational and Corpus-based Phraseology which is jointly organised by the European Association for Phraseology (EUROPHRAS), the University of Malaga (Research Group in Lexicography and Translation <http://lexytrad.es/>, IUITLM <http://iuitlm.uma.es/>), the University of Wolverhampton (Research Group in Computational Linguistics <http://rgcl.wlv.ac.uk/>, RIILP <http://www.wlv.ac.uk/riilp>) and the Bulgarian Association for Computational Linguistics <http://acl-bg.org/>. The MUMTTT workshop will be held on the last day of the conference, 30th September 2022. It will provide a forum for researchers and practitioners in the fields of (Computational) Linguistics, (Computational) Phraseology, Translation Studies and Translation Technology to discuss recent advances in the area of multi-word unit processing and to coordinate research efforts across disciplines in order to improve the integration of multi-word units in machine translation and translation technology tools. Multi-word units are word combinations which range from compounds such as ‘credit card’ to idiomatic expressions such as “’it is raining cats and dogs’ and are acknowledged as one of the major challenges in natural language processing (NLP), because of their lexical, syntactic, semantic, pragmatic and/or statistical idiosyncrasies. In spite of the relative progress achieved in translation technology with the adoption of neural approaches and in the processing of particular types of units such as verb-particle constructions, the identification, interpretation and translation of multi-word units in general still represent open challenges, both from a theoretical and a practical point of view. The idiosyncratic morpho-syntactic, semantic and translational properties of multi-word units pose many obstacles even to human translators, mainly because of intrinsic ambiguities, structural and lexical asymmetries between languages, and, finally, cultural differences. In recent years, growing attention has been paid to integrating multi-word units (MWUs) in machine translation and translation technology tools, as it has been acknowledged that it is not possible to create large scale language solutions without properly handling MWUs of all types. As a matter of fact, researchers are now addressing the problems posed by MWU processing and translation using different formalisms and techniques, such as automatic recognition of MWUs in a monolingual or bilingual setting; alignment and paraphrasing techniques; development and use of (handcrafted) monolingual and bilingual language resources; creation of annotated monolingual and parallel corpora, development of strategies for handling syntactically flexible units in language analysis and translation modules, development of evaluation projects. The aim of the workshop is to bring together researchers and practitioners working on MWU processing from various perspectives, in order to enable cross-fertilisation and foster the creation of innovative solutions that can only arise from interdisciplinary collaborations. In particular, the workshop welcomes interactions between NLP researchers working on the computational treatment of multi-word units, experts in (computational) phraseology working on challenging topics of their discipline, as well as translation practitioners, to the benefit of applying their latest results to advance the state of the art in MWU processing. Topics of Interest The MUMTTT 2022 workshop invites the submission of papers reporting on original and unpublished research on topics related to MWU processing in machine translation and translation technology, including - Lexical, syntactic, semantic and translational aspects in MWU representation - Theoretical approaches to MWUs (e.g., collostructional analysis of MWU, cognitive approaches to processing MWUs, etc.) - Development of multilingual MWU resources - Identification and acquisition of MWUs and variants - Learning semantic information about MWUs from monolingual, parallel or comparable corpora - Development and use of MWU resources in machine translation and translation technology - Development of corpora for the extraction and translation of MWUs - Compilation of resources for the extraction and translation of multiword units - Creation of MWU-annotated corpora with a focus on translation aspects - Paraphrasing of MWUs applied to the improvement of machine translation - MWUs and word alignment techniques - MWUs in machine translation - MWUs in translation memory systems - MWUs in term extraction - MWU-centred machine translation evaluation - Evaluation of MWU translation - MWUs in CAT tools - Multilingualism and MWU processing - Psycholinguistic studies of MWU processing in a bilingual setting. Submission Guidelines Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as workshop e-proceedings together with Europhras short papers and posters with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least three programme committee members. Accepted papers will be presented orally or as posters, as determined by the programme committee. There will be no distinction in the workshop proceedings between papers presented orally or as posters. Templates LaTeX <http://lexytrad.es/europhras2022/wp-content/uploads/2022/03/LaTeX2eProceedi…> template. Word <http://lexytrad.es/europhras2022/wp-content/uploads/2022/03/WordTemplate.zip> template. Submissions Access this link <https://www.softconf.com/m/europhras2022/> to make a submission via the START conference management system (Please, be sure to select MUMTTT as Topic). The tutorial on how to create a START account can be found here <http://lexytrad.es/europhras2022/wp-content/uploads/2022/03/howto_START_202…> . Submissions should be compliant with the above templates and should be uploaded as pdf files in START. (START is configured to accept pdf files only). Should you require any assistance with the submission, please do not hesitate to contact us at mumttt2022(a)gmail.com. Important Dates Deadline for paper submission: 10th June 2022 15th July 2022 – EXTENDED Acceptance notification: 8th July 2022 31st July 2022 Final camera-ready version: 2nd September 2022 MUMTTT 2022 workshop: 30th September 2022 Workshop Chairs Gloria Corpas Pastor, Universidad de Málaga, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Johanna Monti, Università degli Studi di Napoli “L’Orientale” Italy Maria Pia di Buono, Università degli Studi di Napoli “L’Orientale” Italy Organising Committee Gennaro Nolano, Università degli Studi di Napoli “L’Orientale” Italy Giulia Speranza, Università degli Studi di Napoli “L’Orientale” Italy Khadija Ait ElFqih, Università degli Studi di Napoli “L’Orientale” Italy

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[Corpora-List]Post doc position: Semantics and Pragmatics of Emojis in Digital Communication
by Tatjana Scheffler 27 Jun '22

27 Jun '22

The project EmDiCom "Semantics and Pragmatics of Emojis in Digital Communication" will develop a formal semantics for emojis as a prime example of visual communication within the newly established DFG priority program ViCom (“Visual Communication. Theoretical, Empirical, and Applied Perspectives”). The project is carried out in cooperation between Jun.-Prof. Dr. Tatjana Scheffler (Ruhr-Universität Bochum, Germany) and Prof. Dr. Patrick Grosz (University of Oslo, Norway). At the Chair of Digital Forensic Linguistics (Scheffler), Department for German Language and Literature of the Faculty of Philology of the Ruhr-Universität Bochum, EmDiCom is looking for a: Post-doc (m/f/d) with 39,83 hours per week for a period of 3 years (TV-L E13) to start on 1st September 2022 or as soon as possible thereafter. Your tasks: - Independent research on the semantics and pragmatics of emojis in the research project "Semantics and Pragmatics of Emojis in Digital Communication" (EmDiCom). - Participation in the interdisciplinary DFG priority program "Visual Communication" (e.g. participation in network meetings) - Planning and conducting linguistic online experiments (acceptability studies, reading time measurements) - Collaboration on publications and presentations at international conferences - Supervision of research assistants - Organization of scientific events (workshops) Your profile: - An above-average linguistics PhD is required - Focus on formal semantics/pragmatics and experience in experimental linguistics - Willingness to travel to the project partner in Oslo for research visits is expected (up to 6 months in total) - Knowledge of tools for creating and conducting online experiments is an advantage - Prior experience working with digital corpora is desirable - Very good English skills are required, knowledge of German or Norwegian is an advantage We offer: - Challenging and varied tasks with a high degree of personal responsibility - Exciting research on a current topic - International cooperation with the "Super Linguistics" group at the University of Oslo and within the "Visual Communication" priority program - A friendly and enthusiastic team at the interface of formal, digital, and computational linguistics - Employment at one of the largest universities in Germany, part of the University Alliance Ruhr - Flexibility for working from home - Extensive opportunities for further education and training Further information: Since this position is part of a third-party funded research project, there is no teaching obligation. Official job announcement: https://jobs.ruhr-uni-bochum.de/jobposting/f1ec75a1aff56228230b431eedf4678c… Contact persons for further information: Jun.-Prof. Dr. Tatjana Scheffler (tatjana.scheffler(a)rub.de) and Prof. Dr. Patrick Grosz (p.g.grosz(a)iln.uio.no) Interviews are expected to take place via Zoom on July 28 and 29. Travel expenses, accommodation costs and loss of earnings or other application costs for interviews cannot be reimbursed according to the guidelines of the state of NRW. The deadline of application is July 5, 2022. Applicants should submit a short cover letter including their motivation for the position, a full CV, two sample publications and the names of two potential referees, as a single pdf document. We look forward to receiving your application, quoting “EmDiCom”, by July 5, 2022 by e-mail to the following address: malvina.witzki(a)rub.de <mailto:malvina.witzki@rub.de> --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44780 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

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[Corpora-List]Programme and Call for Participation: LxGr2022
by Costas Gabrielatos 27 Jun '22

27 Jun '22

Symposium: Corpus Approaches to Lexicogrammar (LxGr2022) Programme and Call for Participation The symposium will take place online on Friday 8 & Saturday 9 July 2022. Programme: https://www.edgehill.ac.uk/departments/academic/englishhistorycreativewriti… Registration (free): https://store.edgehill.ac.uk/conferences-and-events/conferences/conferences… For more information, contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>). ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[Corpora-List][Computers] (ISSN 2073-431X) Special Issue "Advances of Machine and Deep Learning in the Health Domain"--Call for Paper
by Mr. Blink Yu 27 Jun '22

27 Jun '22

[Apologies if you receive multiple copies of this message] ==================================== Special Issue "Advances of Machine and Deep Learning in the Health Domain" Deadline for manuscript submissions: 30 June 2022. Guest Editor: Dr. Antonio Celesti MIFT Department, University of Messina, Viale F. Stagno d'Alcontres, 31 98166 Messina, Italy Dr. Ivanoe De Falco Institute of High Performance Computing and Networking of National Research Council (ICAR-CNR), 80131 Naples, Italy Dr. Antonino Galletta MIFT Department, University of Messina, 98166 Messina, Italy Dr. Giovanna Sannino Institute of High Performance Computing and Networking – National Research Council of Italy (ICAR-CNR), 80131 Naples, Italy https://www.mdpi.com/journal/computers/special_issues/AI_health_2022 =========================================== The 1st edition of the IEEE International Conference on ICT Solutions for eHealth (ICTS4eHealth) will be held on 5–8 September 2021 in Athens (Greece) in conjunction with the 26th IEEE Symposium on Computers and Communications (ISCC). For more information about the conference, please use this link: https://www.icts4ehealth.icar.cnr.it/ Machine and Deep Learning deal with data, and one of their goals is to extract information and related knowledge that is hidden in them in order to make detections and/or predictions and, subsequently, take decisions. With the terms “Machine and Deep Learning”, we cover a wide range of theories, methods, algorithms, and architectures that are used to this end. This Special Issue will cover promising developments in the related areas of machine and deep learning applied to the health domain and offer possible paths for the future. The authors of selected papers that are presented at the International IEEE ICTS4eHealth Conference 2021 are invited to submit their extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with at least 50% extension of new results. All submitted papers will undergo our standard peer-review procedure. Accepted papers will be published in open access format in Computers and collected together in this Special Issue’s website. Accepted extended papers will be free of charge. There are no page limitations for this journal. We are also inviting original research work covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in artificial intelligence in the health domain. The main topics include but are not limited to: Knowledge management of health data; Data mining and knowledge discovery in healthcare; Machine and deep learning approaches for health data; Explainable ai models for health, biology, and medicine; Decision support systems for healthcare and wellbeing; AI for precision medicine; Optimization for healthcare problems; Regression and forecasting for medical and/or biomedical signals; Healthcare information systems; Wellness information systems; Medical signal and image processing and techniques; Medical expert systems; Diagnoses and therapy support systems; Biomedical applications; Applications of AI in healthcare and wellbeing systems; machine learning-based medical systems; medical data and knowledge bases; neural networks in medicine; ambient intelligence and pervasive computing in medicine and healthcare; AI in genomics; AI for healthcare social networks. Dr. Antonio Celesti Dr. Ivanoe De Falco Dr. Antonino Galletta Dr. Giovanna Sannino Guest Edito -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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[Corpora-List]PhD scholarships at the University of Bozen-Bolzano
by Alberto Lavelli 27 Jun '22

27 Jun '22

The Free University of Bozen-Bolzano (https://www.unibz.it/) has opened a public competition for 21 fully funded PhD scholarships in Computer Science (*deadline July 1, 2022*). They cover a range of epistemologies, theories, methods and applications of computer science. Topics include studies of theoretical AI, data science and machine learning application, up to the design of the most advanced user interfaces and critical user research. In particular, the two following topics (in collaboration with Fondazione Bruno Kessler) can be of interest for the mailing list. *Emotions in Multilingual Texts (Carlo Strapparava)* The affective dimension of word meaning often forms part of our reservoir of common-sense knowledge, and it is reflected in the way we use words. This project aims at producing and evaluating new technologies for recognition of emotional language and possibly other subtle pragmatic aspects of communication. Because there are diverse subtilties in emotional expressions in different languages, the project will devote particular attention in approaching the problem from a multilingual point of view. *Neural Models of Collaborative Behaviours in Conversational Agents (Bernardo Magnini)* Human-human dialogues are characterized by collaborative behaviours, through which interlocutors achieve their communicative goals. As an example, proactivity (i.e., anticipating user needs during dialogue) and grounding (e.g., posing clarification questions) are two relevant cases that have been investigated from a linguistics perspective. However, such collaborative behaviours are still largely absent in current neural dialogue models. There are several open research challenges in this direction, including investigating how dialogue systems can learn when and how to be collaborative, depending on the dialogue context, and how do we evaluate whether collaborative behaviours have improved the efficacy of dialogue. This PhD project addresses collaborative behaviours in conversational agents from a computational perspective, exploiting the integration of machine learning approaches based on neural models, reinforcement learning, and knowledge-based techniques. Key information to apply and gain admission to the PhD Programme can be found here: https://www.unibz.it/en/faculties/computer-science/phd-computer-science/ The scholarship includes University Fees 3-year personal grant (approx. € 17,000 NET per year) 50% pay increase to support international mobility for a period variable between 6 months and one year according to the type of projects Personal budget for research and travel expenses (Euro 2,500) State-of-the-art technical equipment Further financial possibilities are available in the form of teaching contracts and research consultancies during the years of study, for top students. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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[Corpora-List]Natural Language Processing Postdoctoral Scholar at University of California, Santa Cruz
by Marilyn Walker 27 Jun '22

27 Jun '22

The Natural Language Processing Program (nlp.ucsc.edu) in the Computer Science and Engineering Department at the University of California, Santa Cruz (UCSC) invites applications for the Natural Language Processing Postdoctoral Researcher, under the direction of Professor Marilyn Walker. We seek outstanding applicants with research expertise in all areas of Natural Language Processing (NLP). The NLP Postdoctoral Researcher will be expected to contribute to the research profile of the NLP group. We also expect the successful candidate to support graduate students and other Postdoctoral Scholars as a peer mentor. Feel free to contact me at nlp(a)ucsc.edu with any questions. Applications are open now, full consideration will be given to applications submitted by July 15th, 2022 for a start date of September 1st. For details, and to apply, go here: https://recruit.ucsc.edu/JPF01330 -- Professor Marilyn Walker Fellow of the Association for Computational Linguistics Program Director, NLP MS Program, https://nlp.ucsc.edu/ Natural Language and Dialogue Systems Lab Department of Computer Science and Engineering Baskin School of Engineering University of California Santa Cruz users.soe.ucsc.edu/~maw

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[Corpora-List]REMINDER -- Late-breaking and non-archival round -- (Dis)embodiment
by Sharid Loáiciga 27 Jun '22

27 Jun '22

(Dis)embodiment University of Gothenburg, Sweden, September 14-16, 2022 REMINDER: Late-breaking and non-archival round https://sites.google.com/view/disembodiment/home (Dis)embodiment will bring together researchers from various areas looking to answer the question of the role of grounding and embodiment in modelling human language tasks and behaviour -- or limits thereof. The conference is open to viewpoints from machine learning, computational linguistics, theoretical linguistics and philosophy, cognitive science and psycholinguistics, as well as artificial intelligence ethics and policy. We hope to see technical contributions and the full spectrum of reasoned debate. Important dates ***** NEW! Late-breaking and archival submission deadline: 2022 July 11, anywhere on Earth ***** Submission deadline: 2022 May 16 2020 May 30, anywhere on Earth Notification of acceptance: 2022 June 30, anywhere on Earth Camera ready: 2022 August 19, anywhere on Earth Conference: 2022 September 14-16, not anywhere on Earth, but in Gothenburg

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[Corpora-List][CFP] The 8th Workshop on Noisy User-generated Text | COLING 2022 | Due Aug 19th
by Xu, Wei 27 Jun '22

27 Jun '22

The 8th Workshop on Noisy User-generated Text (WNUT @COLING 2022) The WNUT Workshop will be collocated with COLING 2022 (Hybrid - Gyeongju, Republic of Korea). The website for the workshop is at: http://noisy-text.github.io/<https://urldefense.com/v3/__http://noisy-text.github.io/__;!!KGKeukY!jkgFYC…> The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records, and language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as COLING main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. We have Best Paper Awards sponsored by Megagon Labs this year. Topics of interest include but are not limited to: * NLP Preprocessing of Noisy Text - Part of speech tagging - Named entity tagging, including a wide range of categories, e.g. product names - Chunking of user-generated text - Parsing * Text Normalization and Error Correction - Normalizing noisy text for downstream tasks and for human readability - Error detection and correction * Robustness to Noise, both Natural and Adversarial * Multilingual NLP in noisy text * Machine Translation of Noisy Text * Sentiment analysis * Crowdsourcing of text data * User prediction, e.g. gender, age, etc * Stylistics, e.g. formality, politeness, etc * Colloquial language, e.g. code-switching, idiom detection * Bilingual translation of the noisy text * Paraphrase identification and semantic similarity of short text or noisy text * Information extraction from noisy text * Domain adaptation to user-generated text * Geolocation prediction * Global and regional trend detection and event extraction * Detecting rumors, contradictory information, sarcasm, and humor on social media * Extracting user demographics, profiles, and major life events * Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...) = IMPORTANT DATES = * August 19, 2022: Submission Deadline (dual-submission w/ COLING main conference allowed) * September 7, 2022: Acceptance Notification * September 14, 2022: Camera-ready Deadline * October 17, 2022: Workshop Day = ORGANIZERS = Tim Baldwin (University of Melbourne) Afshin Rahimi (University of Queensland) Wei Xu (Georgia Institute of Technology) Alan Ritter (Georgia Institute of Technology) = SUBMISSION = Formatting should be according to COLING 2022 specifications. Dual submission is allowed but must state at the time of submission. Please submit through the START system at the following URL: https://www.softconf.com/coling2022/W-NUT_2022

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[Corpora-List]PhD position in modeling children's communicative development
by Abdellah Fourtassi 26 Jun '22

26 Jun '22

Our team (cocodev.fr) at Aix-Marseille University offers a fully-funded Ph.D. research position (with no teaching duties) in the framework of the ANR grant MACoMiC (Mastering the Art of Conversation in Middle Childhood). The broad goal of the PhD researcher is to lead the development of deep learning models of child-parent multimodal communication, across several cultures, using data of face-to-face conversations recorded using portable eye-tracking systems and zoom calls. We are interested in studying the development of various conversational skills including mechanisms of building shared understanding, multimodal synchrony/alignment, and discourse coherence/contingency. We are also interested in the application of this research both to help design more effective clinical interventions (for children with communicative difficulties) and to build child-oriented conversational AI. The selected candidate can focus on one or several of these dimensions, defining a personalized research program together with the main advisor. The PhD researcher will be integrated into a supportive and highly interdisciplinary team of senior and early career researchers in computer science (with expertise in conversational AI), developmental psychology, and neuro-linguistics. They will be located at the Department of Computer science of Aix-Marseille University and part of the Institute of Language Communication and the Brain (ILCB.fr) <https://www.ilcb.fr/>. Additionally, the PhD researcher will have the opportunity to interact/collaborate with CoCoDev’s internal network, especially researchers from the Dialog Modelling Group (University of Amsterdam), the Interacting Minds Center (The University of Aarhus), and the Multimodal Language and Cognition group (Max Plank Institute of Psycholinguistics). Requirement - -The ideal candidate for this position should have a strong background/training in computer science and experience with deep-learning modeling. - -Interest in cognitive science (though no prior experience is required). - -Good mastery of English - Key dates Open until filled. Please send (as soon as possible for full consideration): 1) a CV 2) A recent transcript (a university document with courses taken and grades) 2) Contact info of one reference (ideally a research supervisor) 3) (Optional) Evidence of prior experience with deep-learning modeling (a publication, dissertation, code on GitHub, etc.) *Latest starting date:* October 1st, 2022 Inquiries All kinds of inquiries (about the scientific project, the university, life in Marseille, etc) as well as the application documents should be addressed to Abdellah Fourtassi (abdellah.fourtassi(a)univ-amu.fr) -- Abdellah Fourtassi Assistant Professor Department of Computer Science Institute of Language, Communication, and the Brain Aix-Marseille University, France https://sites.google.com/site/fourtassi/

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[Corpora-List][CfP] 2nd SummDial: A SemDial 2022 Special Session on Summarization of Dialogues and Multi-Party Meetings
by Tirthankar Ghosal 26 Jun '22

26 Jun '22

***2nd SummDial: A SemDial 2022 <https://semdial2022.github.io/#> Special Session on Summarization of Dialogues and Multi-Party Meetings*** ***Website: https://elitr.github.io/automatic-minuting/summdial-2022.html *** ***Submission Deadline: August 1, 2022 *** ***Event Date: August 24, 2022 *** With a sizeable working population of the world going virtual, resulting in information overload from multiple online meetings, imagine how convenient it would be to just hover over past calendar invites and get concise summaries of the meeting proceedings? How about automatically minuting a multimodal multi-party meeting? Are minutes and multi-party dialogue summaries the same? We believe Automatic Minuting is challenging. There are possibly no agreed-upon guidelines for taking minutes, and people adopt different styles to record meeting minutes. The minutes also depend on the meeting's category, the intended audience, and the goal or objective of the meeting. We hosted the First SummDial Special Session at SIGDial 2021. Several significant problems and challenges in multi-party dialogue and meeting summarization came from the discussions in the first SummDial, which we documented in our event report <https://dl.acm.org/doi/10.1145/3527546.3527561>. Since we witnessed enthusiastic participation of the dialogue and summarization community in the first SummDial special session <https://elitr.github.io/automatic-minuting/summdial.html> ( https://elitr.github.io/automatic-minuting/summdial.html), we are hosting the Second SummDial special session at SemDial 2022 <https://semdial2022.github.io/#> (https://semdial2022.github.io/#). This year, we intend to continue discussing these challenges and lessons learned from the previous SummDial. Our goal for this special session would be to stimulate intense discussions around this topic and set the tone for further interest, research, and collaboration in both Speech and Natural Language Processing communities. Our topics of interest are Dialogue Summarization, including but not limited to Meeting Summarization, Chat Summarization, Email Threads Summarization, Customer Service Summarization, Medical Dialogue Summarziation, and Multi-modal Dialogue Summarization. Our shared task on Automatic Minuting (AutoMin) at Interspeech 2021 was another community effort in this direction. Our shared task on Automatic Minuting (AutoMin) <https://elitr.github.io/automatic-minuting/> at Interspeech 2021 <https://www.interspeech2021.org/> was another community effort in this direction. ***Call for papers*** We invite regular and work-in-progress papers that report: - Current research in multi-party dialogue summarization for summarizing meetings, spoken dialogue, using speech, text, or multi-modal data (audio, video), - Challenges in dialogue summarization evaluation (manual + automatic), - New methods and metrics for dialogue summarization evaluation, - Relevant corpus collection, pre-processing, development, and ethical issues involved, - Compare and contrast speech-specific systems to systems imported from text summarization, - Tools for meeting transcript generation and automatic summarization, - Topic detection and span identification in meeting transcripts for multi-topic summarization, - Position papers to reflect on the current state of the art in this topic, to take stock of where we have been, where we are, where we are going and where we should go. Researchers may choose to submit: - ***Long papers*** Authors should submit an anonymous paper of at most 8 pages of content (up to 2 additional pages are allowed for references). - ***Short papers*** Authors should submit a non-anonymized paper of at most 2 pages of content (up to 1 additional page allowed for references). Submissions to this track can be non-archival on request. - ***Position Papers*** Including extended abstracts, work-in-progress, and late-breaking papers. ***Submission Link*** https://easychair.org/my/conference?conf=summdial2022 Submissions should follow the ACL format. Papers that have been or will be submitted to other meetings or publications must provide this information using a footnote on the title page of the submissions. SummDial 2022 cannot accept work for a publication that will be (or has been) published elsewhere. ***Special Session Program*** The special session would consist of a keynote, a panel, oral and/or poster paper presentations. ***Organizers*** - Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal/>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic - Muskaan Singh, IDIAP, Switzerland - Xinnou Xu, University of Edinburgh, UK - Ondřej Bojar <https://ufal.mff.cuni.cz/ondrej-bojar>, Institute of Formal and Applied Linguistics, Charles University, Czech Republic -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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[Corpora-List][CfP] Shared Task on Detecting Entities in the Astrophysics Literature (DEAL) at AACL-IJCNLP 2022
by Tirthankar Ghosal 26 Jun '22

26 Jun '22

***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** ***Website: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks *** ***Twitter: https://twitter.com/wiesp_nlp *** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level, and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysics Data System ( https://ui.adsabs.harvard.edu/). The DEAL shared task is a part of the *1st Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022: * https://ui.adsabs.harvard.edu/WIESP/2022/ ***Please fill in this form to report your intention to participate in the shared task*** https://forms.office.com/r/KKpeKJBLy3 ***Shared Task Submission*** Link to data and scoring scripts: https://huggingface.co/datasets/fgrezes/WIESP2022-NER CodaLab Link to the online competition : https://codalab.lisn.upsaclay.fr/competitions/5062 ***Important Dates*** - Training+Validation Data Release: June 1, 2022 - Validation Phase: June 1 - July 31, 2022 - Test Data Release: August 1, 2022 - Final Scoring Period: August 1 - August 10, 2022 - System Report Submission: August 25, 2022 - Notification: September 25, 2022 - Camera-ready Submission Deadline: October 10, 2022 - Event Date: November 20, 2022 (online) ***All submission deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”)*** ***Organizers*** - Tirthankar Ghosal <https://elitr.eu/tirthankar-ghosal>, Charles University, CZ - Sergi Blanco-Cuaresma <https://www.blancocuaresma.com/s/>, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi <https://ui.adsabs.harvard.edu/about/team/team/aaccomazzi.html>, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton <https://www.ornl.gov/staff-profile/robert-m-patton>, Oak Ridge National Laboratory, USA - Felix Grezes <https://ui.adsabs.harvard.edu/about/team/team/fgrezes.html>, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen <https://ui.adsabs.harvard.edu/about/team/team/tallen.html>, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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[Corpora-List][CfP] First Shared Task on Multi-Perspective Scientific Document Summarization (MuP) at 3rd SDP @ COLING 2022
by Tirthankar Ghosal 26 Jun '22

26 Jun '22

***Call for Participation*** ***First Shared Task on Multi-Perspective Scientific Document Summarization (MuP)*** Website: https://github.com/allenai/mup Generating summaries of scientific documents is known to be a challenging task. The majority of existing work in summarization assumes only one single best gold summary for each given document. Having only one gold summary negatively impacts our ability to evaluate the quality of summarization systems, as writing summaries is a subjective activity. At the same time, annotating multiple gold summaries for scientific documents can be extremely expensive as it requires domain experts to read and understand long scientific documents. This shared task will enable exploring methods for generating multi-perspective summaries. We introduce a novel summarization corpus, leveraging data from scientific peer reviews to capture diverse perspectives from the reader's point of view (each paper has multiple summaries reflecting multiple perspectives of the reader). The MuP shared task is a part of the 3rd Scholarly Document Processing (SDP) workshop at COLING 2022. https://sdproc.org/2022/ More details on the shared task and the corresponding dataset can be found on: https://github.com/allenai/mup ****Please fill in this form to participate in the shared task*** * https://forms.gle/K2UECKvmghzDHUpo7 The leaderboard for the shared task will be announced soon on the website. Shared Task Timelines Training Data Release: May 10, 2022 Test Data Release: June 30, 2022 Evaluation Period: July 1 - July 15, 2022 System Description Papers Due: August 1, 2022 Reviews Notification: August 15, 2022 Camera-Ready Papers Due: September 5, 2022 Event at SDP @ COLING 2022: October 16/17, 2022 MuP 2022 Organizers 1. Guy Feigenblat - Piiano, Israel 2. Arman Cohan - AI2, US 3. Tirthankar Ghosal - ÚFAL, Charles University, Czechia 4. Michal Shmueli-Scheuer - IBM Research AI, Israel -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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[Corpora-List]Metadata on texts for BNC 2014 Written
by Mark Davies 24 Jun '22

24 Jun '22

Is anyone aware of metadata for the BNC 2014 *Written* corpus -- source, date, # words, (sub)genre, etc for each of the ~88,000 texts? I've contacted the BNC people, but no response. Thanks, Mark Davies ============================================ Mark Davies english-corpora.org mark-davies.org ============================================

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Jobs: 13 PhD positions + 1 postdoc at FAU Erlangen-Nürnberg (RTG Dimensions of Constructional Space)
by Stephanie Evert 24 Jun '22

24 Jun '22

In our newly established Research Training Group Dimensions of Constructional Space we're offering 13 PhD positions (65%, 3 years) on a wide range of topics connected to Construction Grammar as a common theoretical core, and 1 postdoc position (100%, 4.5 years) on developing a multilingual research constructicon to integrate results obtained in the PhD projects and create a new model for linguistic research documentation. You can apply for one of the 13 PhD projects offered or for the postdoc position, including a motivation letter that explains why you're interested in, and qualified for this particular position. Application deadline: 10 July 2022 More information is available online: Call for applications – https://www.linguistics.phil.fau.eu/fau-linguistics/research-training-group… Project descriptions – https://www.linguistics.phil.fau.eu/fau-linguistics/research-training-group… Homepage of the RTG – https://www.linguistics.phil.fau.eu/fau-linguistics/research-training-group… Full details – https://www.linguistics.phil.fau.eu/files/2022/05/rtg-dimensions-of-constru… Please share this call with anyone who might be interested! Best wishes, Stephanie -- Prof. Stephanie Evert Chair of Computational Corpus Linguistics Friedrich-Alexander-Universität Erlangen-Nürnberg Bismarckstr. 6, 91054 Erlangen, Germany office: Bismarckstr. 6, room 4.000 phone: +49 9131 8522426 e-mail: stephanie.evert(a)fau.de web: www.linguistik.fau.de

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[Corpora-List]TRAC 2022: Second CFP and Shared Task Participation (COLING 2022 Workshop)
by Ritesh Kumar 24 Jun '22

24 Jun '22

*For this iteration of the shared task, we especially encourage those who participated or have trained models on TRAC - 2018 and /or TRAC - 2020 Shared Task datasets to submit the predictions of their earlier models on our current test set. They are, of course, free to submit predictions on new models / current datasets as well.* *3rd Workshop on Threat, Aggression and Cyberbullying (TRAC - 2022)* > > & > *Shared Tasks on Bias, Threat and Aggression Identification in Context* > Co-located with COLING 2022, October 12 - 17, 2022 > Gyeongju, the Republic of Korea > > > *Second Call for Papers and Shared Task Participation* > > *Workshop Website*: https://sites.google.com/view/trac2022/home > *Paper Submission*: https://www.softconf.com/coling2022/TRAC-2022/ > *Shared Task Website:* https://codalab.lisn.upsaclay.fr/competitions/4753 > > *Submission Deadline*: July 11, 2022 (Regular) / July 31, 2022 (ACL ARR) > > As in the earlier editions of the workshop, TRAC-2022 will focus on the > applications of NLP, ML and pragmatic studies on aggression and > impoliteness to tackle these issues. We invite *long (8 pages)* and *short > papers (4 pages)* as well as *position papers* and opinion pieces (5 - 20 > pages), *demo proposals* and *non-archival extended abstracts* (2 pages) > based on, but not limited to, any of the following themes from academic > researchers, industry and any other group / team working in the area. > > - Theories and models of aggression and conflict in language. > - Cyberbullying, threatening, hateful, aggressive and abusive language > on the web. > - Multilingualism and aggression. > - Resource Development - Corpora, Annotation Guidelines and Best > Practices for threat and aggression detection. > - Computational Models and Methods for aggression, hate speech and > offensive language detection in text and speech. > - Detection of threats and bullying on the web. > - Automatic censorship and moderation: ethical, legal and > technological issues and challenges. > > > *Shared Tasks* > TRAC-2022 will include two novel shared tasks: > > *Task 1: Bias, Threat and Aggression Identification in Context* > The first shared task will be a structured prediction task for recognising > (a) Aggression, Gender Bias, Racial Bias, Religious Intolerance and Bias > and Casteist Bias on social media and (b) the "discursive role" of a given > comment in the context of the previous comment(s). The participants will be > given a "thread" of comments with information about the presence of > different kinds of biases and threats (viz. gender bias, gendered threat > and none, etc) and its discursive relationship to the previous comment as > well as the original post (viz. attack, abet, defend, counter-speech and > gaslighting). In a series / thread of comments, participants will be > required to predict the presence of aggression and bias of each comment, > possibly making use of the context. > > *Task 2: Generalising across domains - COVID-19* > For this sub-task, the test set will be sampled from the COVID-19 related > conversation, annotated with levels of aggression, offensiveness and hate > speech. Across the globe, during the pandemic, we have seen various kinds > of novel aggressive and biased conversation on social media - in fact, in > some cases there was massive escalation of religious and other kinds of > intolerance and polarisation. The participants of TRAC-1 and TRAC-2 shared > tasks are especially encouraged to submit the predictions their their > earlier models on this test set. They may also train new models jointly on > both the datasets. Those who didn't participate in earlier tasks are also > invited to submit the predictions for this task by training models on the > two datasets and are encouraged to submit the predictions on the respective > test sets of the earlier tasks along with the predictions on the current > dataset (to enable comparison). New participants may also use TRAC-1 or > TRAC-2 dataset or a combination of the two for building the models. The aim > of the task is to evaluate the generalisability of our systems in > unexpected and novel situations. > > For participation, visit the Codalab website - > https://codalab.lisn.upsaclay.fr/competitions/4753 > > For any clarifications, contact coling.aggression(a)gmail.com. > > Looking forward to your participation! > >

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[Corpora-List]Multiple NLP Postdoc Positions available at the CSIRO - Deadline: 7 July 2022
by Wan, Stephen (Data61, Eveleigh) 24 Jun '22

24 Jun '22

Multiple CSIRO Early Research Career Postdoctoral Fellowships are available in Natural Language Processing. CSIRO Data61 is looking for multiple CERC Fellows to join an NLP team of researchers and engineers. Relevant NLP research areas: information extraction, text summarization, question answering, semantic parsing, semantic role labelling, paraphrase detection and generation, and NLP for Information Retrieval. About the CSIRO Postdoctoral Fellowship program: CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system. Location: Sydney, NSW Salary: AU$89k - AU$98k plus up to 15.4% superannuation Tenure: Specified term of 3 years Reference: 77986 Applications close: 7 July 2022 To be considered you will need: * A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Computer Science (Natural Language Processing/Computational Linguistics or Machine Learning with text data). * Experience using deep learning and other machine learning techniques in NLP. * High-level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences. * A sound history of publication in peer-reviewed journals and/or conferences. For more information or to apply, please visit: https://jobs.csiro.au/job-invite/77986/

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[Corpora-List]Complex Word Identification in French
by Christopher Collins 23 Jun '22

23 Jun '22

Hello, I'm looking for any open source or cloud-hosted solution for complex word identification or word difficulty rating in French for a reading application. As a backup plan we can use measures like corpus frequency, length, number of senses, but we're hoping someone has already made a tool available. We found this but that's it: https://github.com/sheffieldnlp/cwi Would appreciate any tips! Thanks, Chris Christopher Collins [he/him<https://medium.com/gender-inclusivit/why-i-put-pronouns-on-my-email-signatu…>] Associate Professor - Faculty of Science Canada Research Chair in Linguistic Information Visualization Ontario Tech University vialab.ca<http://vialab.ca/>

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[Corpora-List]Call for Participation: WAT2022 Multi-Modal Translation Task
by Shantipriya Parida 23 Jun '22

23 Jun '22

[Apologies for cross-posting] Dear All, We invite you to participate in three shared tasks. The aim of the “WAT 2022 Multi-Modal translation task” is to enable research on multilingual multimodal NLP. Workshop on Asian Translation (WAT) is organizing the multimodal English-to-Hindi, English-to-Malayalam, and English-to-Bengali translation tasks using the multimodal datasets, consisting of text and images suitable for English-to-Hindi, English-to-Malayalam, and English-to-Bengali multimodal machine translation, Image Captioning task and multimodal research. Timeline: Please refer to the task website. Websites: https://ufal.mff.cuni.cz/hindi-visual-genome/wat-2022-english-hindi-multimod https://ufal.mff.cuni.cz/malayalam-visual-genome/wat2022-english-malayalam-… https://ufal.mff.cuni.cz/bengali-visual-genome/wat-2022-english-bengali-mul… Contact: email: wat-multimodal-task(a)ufal.mff.cuni.cz (same contact for all tasks) Organizers: Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>, Silo AI, Helsinki, Finland Ondřej Bojar, <https://ufal.mff.cuni.cz/ondrej-bojar> Charles University, Prague, Czech Republic -- Shantipriya Parida Senior AI Scientist @ Silo AI <http://www.silo.ai/> Mobile:# +358 (0465787840) LinkedIn <http://linkedin.com/>*Shantipriya Parida <https://www.linkedin.com/in/shantipriya-parida-9781a9127/>* *http://www.shantipriya.me/ <http://www.shantipriya.me/>*

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[Corpora-List]NeuroX: Neuron Interpretation Toolkit
by Hassan Sajjad 23 Jun '22

23 Jun '22

Dear colleagues, We have developed a toolkit to interpret deep NLP models with a focus on *neuron interpretation*. The toolkit is available as: pip install neurox Project Website: https://neurox.qcri.org/ Documentation: https://neurox.qcri.org/docs/ Git: https://github.com/fdalvi/NeuroX NeuroX implements a number of features that facilitate model interpretation such as: - Word-level activation extractions (contextualized embeddings) - Integration with Huggingface - Implementation of a number of neuron probing methods (identify neurons learning a linguistic property such as noun) - Visualize the behavior of a neuron across a set of examples - and many more If you have any questions or feedback, feel free to reach out to me or open an issue on the project's github. Thank you, -- Regards; Hassan Sajjad

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[Corpora-List]SOA models for Sentiment Analysis benchmarked on Multiple Domains ( Model and Paper )
by Giuseppe Riccardi 23 Jun '22

23 Jun '22

Dear all, we are glad to present to you a new BERT-based model for Sentiment Analysis ( for Italian ), trained and benchmarked on multiple domains! The model has been jointly optimized and fine-tuned on multiple domains such as product reviews, social media comments and financial news. The model has achieved better performance than fine-tuning it in isolation on every single dataset, reaching state-of-the-art results in the majority of the datasets that we used. To get and use the model please, follow the instructions available here: https://sisl.disi.unitn.it/itfn-corpus/ <https://sisl.disi.unitn.it/itfn-corpus/> or you can go directly to the official GitLab repo: https://gitlab.com/sislab/multi-source-multi-domain-sentiment-analysis-with… <https://gitlab.com/sislab/multi-source-multi-domain-sentiment-analysis-with…> The related paper will be presented at LREC 2022 conference. The paper is titled as "Multi-source Multi-domain Sentiment Analysis with BERT-based Models" and it is available here <http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.62.pdf>. Best Regards ---- Prof. Dr.-Ing. Giuseppe Riccardi Founder and Director of the Signals and Interactive Systems Lab Department of the Department of Computer Science and Engineering Department University of Trento

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[Corpora-List]16 positions in AI and ML at the Finnish center for AI
by Tiedemann, Jörg 22 Jun '22

22 Jun '22

FCAI is hiring! 16 funded positions in artificial intelligence & machine learning for postdocs, research fellows, PhD students. Apply now: fcai.fi/we-are-hiring For NLP folks: look at section 2 and uncertainty-aware language and speech understanding!

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[Corpora-List]CFP- SocialDisNER track (SMM4H/COLING) : Detection of Disease Mentions in Social Media.
by Martin Krallinger 22 Jun '22

22 Jun '22

CFP- SocialDisNER track: Detection of Disease Mentions in Social Media (SMM4H Shared Task at COLING2022) https://temu.bsc.es/socialdisner/ <https://mailtrack.io/trace/link/6766192d9893dae46724eb77b400118fb7bc69da?ur…> Despite the high impact & practical relevance of detecting diseases automatically from social media for a diversity of applications, few manually annotated corpora generated by healthcare practitioners to train/evaluate advanced entity recognition tools are currently available. Developing disease recognition tools for social media is critical for: - Real-time disease outbreak surveillance/monitoring - Characterization of patient-reported symptoms - Post-market drug safety - Epidemiology and population health, - Public opinion mining & sentiment analysis of diseases - Detection of hate speech/exclusion of sick people - Prevalence of work-associated diseases SocialDisNER is the first track focusing on the detection of disease mentions in tweets written in Spanish, with clear adaptation potential not only to English but also other romance languages like Portuguese, French or Italian spoken by over 900 million people worldwide. For this track the SocialDisNER corpus was generated, a manual collection of tweets enriched for first-hand experiences by patients and their relatives as well as content generated by patient-associations (national, regional, local) as well as healthcare institutions covering all main diseases types including cancer, mental health, chronic and rare diseases among others. Info: - Web: https://temu.bsc.es/socialdisner/ <https://mailtrack.io/trace/link/45af6f43eba33e6ef6747ff1b0de9ef5057f18a8?ur…> - Data: <https://mailtrack.io/trace/link/d9d74054359cab6ad746e882275ddaac19f9a419?ur…> https://doi.org/10.5281/zenodo.6359365 <https://mailtrack.io/trace/link/d5a25ef767660e4d57fc35463a5f83939fa875ce?ur…> - Registration: https://temu.bsc.es/socialdisner/registration <https://mailtrack.io/trace/link/94516241effc9203151687423b20243e01903c77?ur…> Schedule - Development Set Release: June 14th - Test Set Release: July 11th - Participant prediction Due: July 15th - Test set evaluation release: July 25th - Proceedings paper submission: August 1st - Camera ready papers: September 1st - SMM4H workshop @ COLING 2022: October 12-17 Publications and SMM4H (COLING 2022) workshop Participating teams have the opportunity to submit a short system description paper for the SMM4H proceedings (7th SMM4H Workshop, co-located at COLING 2022). More details are available at https://healthlanguageprocessing.org/smm4h-2022/ <https://mailtrack.io/trace/link/0312fb47c8ed5e3bcb7fabd23fc7fcee6ed3e008?ur…> SocialDisNER Organizers - Luis Gascó, Barcelona Supercomputing Center, Spain - Darryl Estrada, Barcelona Supercomputing Center, Spain - Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Martin Krallinger, Barcelona Supercomputing Center, Spain Scientific Committee & SMM4H Organizers - Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA - Davy Weissenbacher, University of Pennsylvania, USA - Arjun Magge, University of Pennsylvania, USA - Ari Z. Klein, University of Pennsylvania, USA - Ivan Flores, University of Pennsylvania, USA - Karen O’Connor, University of Pennsylvania, USA - Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland - Lucia Schmidt, Roche Pharmaceuticals, Switzerland - Juan M. Banda, Georgia State University, USA - Abeed Sarker, Emory University, USA - Yuting Guo, Emory University, USA - Yao Ge, Emory University, USA - Elena Tutubalina, Insilico Medicine, Hong Kong - Jey Han Hau, The University of Melbourne (Australia) - Luca Maria Aiello, IT University of Copenhagen - Rafael Valencia-Garcia, Universidad de Murcia (Spain) - Antonio Jimeno Yepes, RMIT University (Australia) - Eugenio Martinez Cámara, Universidad de Granada (Spain) - Gema Bello Orgaz, Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (Spain) - Héctor D. Menendez, King's College London (UK) - Manuel Montes y Gómez, National Institute of Astrophysics, Optics and Electronics (Mexico) - Helena Gómez Adorno, Universidad Nacional Autónoma de México (Mexico) - Rodrigo Agerri, IXA Group (HiTZ Centre), University of Basque Country EHU (Spain) - Miguel A. Alonso, Universidad da Coruña (Spain) - Ferran Pla, Universidad Politécnica de Valencia (Spain) - Jose Alberto Benitez-Andrades, Universidad de Leon (Spain)

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[Corpora-List]CfP Special issue "Special Issue "Machine Translation: Principles and Challenges"
by Natalia Resende 22 Jun '22

22 Jun '22

We are inviting contributions to a special issue of the journal *Information* (ISSN 2078-2489). This special issue belongs to the section "Artificial Intelligence". *Deadline for manuscript submissions: 15 November 2022 | Viewed by 122* *More information:* https://www.mdpi.com/journal/information/special_issues/machine_translation… *Special Issue Editors* Dr. Natalia Resende Guest Editor School of Computer Sciences, CeADAR, University College Dublin, Dublin, Ireland Contact: natalia.resende(a)ucd.ie Dr. Pamela Toassi E-Mail Website Guest Editor Department of English Studies, its Literature and Translation (DELILT/UFC), Postgraduate Program in Linguistics (PPGLin/UFC), Postgraduate Program in Translation (POET/UFC), Federal University of Ceara (UFC), Fortaleza, CE, Brazil Dear Colleagues, Due to advances in the field of artificial intelligence that have led to significant improvements in the performance of machine translation (MT) systems, as well as the availability of popular tools that can be accessed free of cost, the number of MT users has increased significantly over the last few years. The evolution of this technology has also resulted in its incorporation in the translation industry as MT represents a powerful tool for increasing translation productivity. However, in the comparison of machine-translated texts and human-translated texts, several questions remain unanswered, especially those concerning quality assessment in MT. For this Special Issue, we are inviting original and unpublished works addressing issues in machine translation that arise in the search for human parity. We are especially interested in studies focusing on MT translation quality and post-editing; innovative solutions and techniques concerning MT performance; studies involving new approaches for systems‘ implementation; techniques for MT evaluation; examination of linguistic phenomena in the output of MT systems; corpora for MT; the impact of MT in society; and MT user experience. We will also accept works committed to advancing theoretical contributions in the field. Topics of interest include but are not limited to: Machine translation evaluation; Post-editing of machine translation ; Resources for machine translation; Machine translation‘s impact on society; MT user experience; New approaches to machine translation‘s implementation and deployment; Incorporation of linguistic knowledge in machine translation; Theoretical contributions to the field of machine translation. Dr. Natalia Resende Dr. Pamela Toassi Guest Editors

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[Corpora-List]We offer two fully funded PhD positions at IRIT (Toulouse, France)
by jose moreno 21 Jun '22

21 Jun '22

PhD positions at IRIT (Toulouse, France) Topic 1 - Knowledge-aware few shot learning Topic 2 - Information retrieval models for structured and verbose queries Starting date: Fall 2022 Research team: IRIS at IRIT : Lynda Tamine / José G Moreno / Taoufiq Dkaki Synergie: Christophe Thovex Profile: - Master's level or engineering school in Computer Science, with skills in Information Extraction/Research and Text Mining - Good English skills (written and oral) - Good skills in advanced programming (Python, Pytorch, sklearn, ...) - Good knowledge in Machine Learning, deep learning is a plus Funding: Total gross salary for 3 years : 105 401,50 € / Note that final monthly salary depends of personal situation in France Application instructions: All applications must include the following to be considered: detailed CV, cover letter, transcripts (with rankings), contacts for recommendation. Please use “PhD application - Synergie” as subject of the email and select a preferred topic (1 or 2) if any. Applications to be sent by mail to Lynda Tamine, José G Moreno, and Taoufiq Dkaki (lynda.tamine(a)irit.fr, jose.moreno(a)irit.fr, taoufiq.dkaki(a)irit.fr). All applications will be processed as they arise until the positions will be filled. Location: Institut de Recherche en Informatique de Toulouse (IRIT) Université Toulouse 3 Paul Sabatier (UT3) 118 Route de Narbonne, F-31062 TOULOUSE CEDEX 9, France Comment: Nantes (France) is also an alternative location if requested by the applicant as Synergie has also offices in Nantes. More information in the attached PDF.

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[Corpora-List]2nd CFP - SIMBig 2022, Peru (AI, Data Science, NLP, ML)
by Juan Antonio Lossio-Ventura 21 Jun '22

21 Jun '22

> [Apologies for cross-posting] > > ================================================================= > 2ND CALL FOR PAPERS - SIMBig 2022 > ================================================================= > > SIMBig 2022 - 9th International Conference on Information Management and Big Data > Where: Universidad Nacional Mayor de San Marcos, Lima, PERU > When: November 16 - 18, 2022 > Website: http://simbig.org/SIMBig2022/ <http://simbig.org/SIMBig2022/> > > ================================================================= > > OVERVIEW > ---------------------------------- > > SIMBig 2022 seeks to present new methods of Artificial Intelligence (AI), Data Science, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS > ------------- > > Leman Akoglu, Carnegie Mellon University, USA > Jiang Bian, University of Florida, USA > Rich Caruana, Microsoft, USA > Dilek Hakkani-Tur, Amazon Alexa AI, USA > Wang-Chiew Tan, Facebook AI, USA > Andrew Tomkins, Google, USA > Bin Yu, University of California, Berkeley, USA > > IMPORTANT DATES > ------------- > > August 05, 2022 --> Papers submission deadline > September 09, 2022 --> Notification of acceptance > October 07, 2022 --> Camera-ready versions > November 16 - 18, 2022 --> Conference held in Lima, Peru > > PUBLICATION AND TRAVEL AWARDS > ------------- > > All accepted papers of SIMBig 2022 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899>. > > > The best 8-10 papers of SIMBig 2022 (tracks including) will be selected to submit an extension to be published with the Springer SN Computer Science Journal <https://www.springer.com/journal/42979> > Thanks to the support of the North American Chapter of the Association for Computational Linguistics (NAACL) <http://naacl.org/>, SIMBig 2022 will offer 4 student travel awards for the best papers. > > > > TOPICS OF INTEREST > ------------- > > SIMBig 2022 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Data Science > Machine Learning > Natural Language Processing > Semantic Web > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Data-driven Software Engineering > > SPECIAL TRACKS > ------------- > > SIMBig 2022 proposes three special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2022/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2022/en/dise.html> - Data-drIven Software Engineering > SNMAM - Social Network and Media Analysis and Mining > > CONTACT > ------------- > > SIMBig 2022 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>) >

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[Corpora-List]Call for Participation: Shared Task on "Survey Variable Identification in Social Science Publications"
by Simone Paolo Ponzetto 21 Jun '22

21 Jun '22

Dear colleagues, we hope that this is interesting for some of you working at the intersection of NLP, CSS and Scholarly Data Mining — we just released the training data and look forward to your participation, thanks! Best - Simone _____________________________________________ Call for participation: Shared task on "Survey Variable Identification in Social Science Publications” to be held as part of the evaluation campaign of the third workshop on Scholarly Document Processing (SDP) at Coling 2022. Shared Task URL: https://vadis-project.github.io/sv-ident-sdp2022 Workshop URL: https://sdproc.org/2022 Important dates: - Trial data release: March 16, 2022 - Training data release: June 6, 2022 - Deadline for registration: July 4, 2022 - Test data release: July 18, 2022 - System runs due: July 25, 2022 - Workshop papers due: August 15, 2022 - Camera-ready papers due: September 5, 2022 - SDP workshop at COLING 2022: October 16/17, 2022 Contact: For any questions on the shared task please contact us on: https://groups.google.com/g/svident2022 _____________________________________________ -- Simone Paolo Ponzetto Data and Web Science Group University of Mannheim, Germany http://dws.informatik.uni-mannheim.de/ponzetto Tel: +49 621 181 2647

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[Corpora-List]The New Directions in Analyzing Text as Data (TADA) Conference
by heather froehlich 20 Jun '22

20 Jun '22

*The New Directions in Analyzing Text as Data (TADA) Conference* October 6-7, 2022 at Cornell Tech, Roosevelt Island, New York City Deadline for abstract submission: July 18, 2022 Form for abstract submission: https://forms.gle/XSarfYQGAXArACEn9 The New Directions in Analyzing Text as Data (TADA) meeting is a leading forum for research on the study of politics, society, and culture through computational analysis of documents. Recent advances in NLP have the potential to revolutionize how we study human society. But using these tools effectively, reliably, and equitably requires continuous dialog between experts across computational methods, social science, and the humanities. TADA 2022 invites applications for research presentations on new work related to text-as-data methods and applications. TADA is an interdisciplinary conference, drawing scholars from across the social sciences, computer and information science, and related fields. Our programs from past meetings (e.g. TADA 2021 <https://tada2021.org/>) show the wide range of work presented at our conference. Key Dates: Monday July 18, abstract submission Friday Aug 5, notification of selection Friday Aug 12, registration for participation Thursday Sep 22, full papers for discussants Thursday Oct 6 – Friday Oct 7, conference This year’s conference will be held at Cornell Tech on Roosevelt Island and is sponsored by the Cornell Center for Social Science and the Cornell Center for Data Science for Enterprise and Society. Proposals are due July 18, and consist of a brief, 300-word abstract in text format rather than a full paper. TADA 2022 is a non-archival conference; there are no formal proceedings, and papers presented at the conference will not be distributed publicly by the conference. Presenters are expected to provide a paper to their discussant two weeks before the conference. We welcome any work, so long as it hasn’t been previously presented at a TADA conference. We also welcome individuals to volunteer to serve as discussants. We are planning to hold TADA 2022 in a hybrid format. Participants who are willing to travel to NYC will attend the conference in person, while a remote option will be provided for the other participants. The conference will consist of oral presentations and a poster session with Ph.D. students. The conference will take place on October 6 and 7 during Eastern Daylight Time business hours. In addition to oral presentations and posters TADA 2022 will have a doctoral consortium. PhD students will be matched with experienced mentors from complementary fields to offer critiques to specific work and to provide guidance in how to do effective interdisciplinary work. Because in-person space is limited, we ask all interested participants to apply to attend the conference. There will be a separate registration for participants after the abstract review process. Diversity leads to stronger science. We actively seek, welcome, and encourage people with diverse backgrounds, experiences, and identities to apply and attend. While many participants have attended TADA for years, we also eagerly welcome new researchers! We anticipate having lodging options available for conference participants to reserve directly. Limited travel funds will be made available for the contact author of accepted papers and posters. Priority for this funding will be given to scholars who lack their own travel funds. We will provide guidance on booking rooms and accessing travel funds with your conference acceptance. For questions write to info(a)tada2022.org -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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[CFP] 2022 AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI)
by Ross Mead 20 Jun '22

20 Jun '22

[CFP] 2022 AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI) The ninth annual AAAI Fall Symposium on “Artificial Intelligence for Human-Robot Interaction” (AI-HRI) will take place on November 17-19, 2022, at the Westin Arlington Gateway in Arlington, VA, USA. We are planning a hybrid in-person and online format to reach more people who would not be able to attend in person. Paper submissions will be due on July 31, 2022 and can be made through https://easychair.org/my/conference?conf=fss22. For more information and updates, please see below or visit the symposium website at https://ai-hri.github.io. Overview The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) symposium has been a successful venue of discussion and collaboration on AI aimed at HRI since 2014. This year, after a review of the achievements of the AI-HRI community over the last decade in 2021, we are focusing on a visionary theme: exploring the future of AI-HRI. Accordingly, we added a Blue Sky Ideas track to foster a forward-thinking discussion on future research at the intersection of AI and HRI. As always, we appreciate all contributions related to any topic on AI/HRI and welcome new researchers who wish to take part in this growing community. With the success of past symposia, AI-HRI impacts a variety of communities and problems, and has pioneered the discussions in recent trends and interests. This year's AI-HRI Fall Symposium aims to bring together researchers and practitioners from around the globe, representing a number of university, government, and industry laboratories. In doing so, we hope to accelerate research in the field, support technology transition and user adoption, and determine future directions for our group and our research. Topics - Future of AI-HRI and “Blue Sky” ideas - Ubiquitous HRI, including AR and VR - Ethics in HRI - Trust and explainability in HRI - Robot planning and decision-making for HRI - Architectures and systems supporting autonomous HRI - Interactive task learning and planning - Interactive dialog systems and natural language - Field studies, experimental, and empirical HRI - Safety and human comfort in HRI - Software tools for autonomous HRI - AI for social robots - AI for physical HRI - Knowledge representation and reasoning to support HRI - HRI in teams and groups - Replication studies and reproducibility - Test methods and metrics for AI-HRI - ...and many other topics relevant to the application of Artificial Intelligence to Human-Robot Interaction! Format This year's symposium will focus on identifying the future of the field of AI-HRI, ranging from research directions to establishing a year-long collaborating community. However, symposium participants will still be invited to present their own work as it contributes to understanding what matters towards these goals. Symposium participants presenting their work will be encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered. We will also continue to include community-building efforts in the schedule: position talks to incite discussion on new and controversial views; informal, focused discussions during poster sessions; breakout discussion sessions in smaller groups; and a demo session, which will emphasize live robot and AR/VR demonstrations. Such discussions and demos are ideal within the symposium community, which is small enough that we can all learn each other's names and faces, but large enough to draw an audience of people who have a real impact in our field. These discussions give perfect opportunities for new researchers in the field to meet senior members in a more informal setting, and become more involved in future collaboration within the community. This year, we have the opportunity to gather in person after two years of being virtual. For inclusiveness, we are planning in advance to implement a hybrid in-person and online format to reach more people who would not be able to attend in person. The diversity chair will lead the efforts for creating an inclusive community and will work with AAAI to manage the logistics for hybrid participation. Submissions - Full papers (6-8 pages) highlighting state-of-the-art HRI-oriented AI research, HRI research focusing on the Future of AI-HRI, the use of autonomous AI systems, or the implementation of AI systems in commercial HRI products. - Short papers (2-4 pages) outlining new or controversial views on AI-HRI research or describing ongoing AI-oriented HRI research. - Tool papers (2-4 pages) describing novel software, hardware, or datasets of interest to the AI-HRI community. - Blue Sky papers (2-4 pages) fostering a forward-thinking discussion on the future at the intersection of AI and HRI. Symposium participants presenting their work are encouraged to include a perspective on the reproducibility and ethics in HRI, though all research on AI-HRI will be considered. All accepted papers will be presented orally and published in the proceedings through ArXiv. Authors will be notified as to whether they have been assigned a “full-length” or “lightning” presentation slot. Please see the AAAI Author Kit ( https://www.aaai.org/Publications/Templates/AuthorKit22.zip) for paper templates to ensure that your submission has the proper formatting. Contributions may be submitted through EasyChair now: https://easychair.org/my/conference?conf=fss22. For any extenuating circumstances that may result in a delayed submission, please contact us at ai4hri(a)gmail.com. Important Dates - Submission deadline: July 31, 2022 - Notification of acceptance: September 6, 2022 - Camera-ready deadline: October 9, 2022 - Registration deadline: October 14, 2022 - Symposium: November 17-19, 2022 Diversity & Inclusion at AI-HRI AI-HRI is committed to growing the diversity of our community and is actively pursuing ways to make our community more inclusive. Our efforts include diversifying the participation among our program committee, invited speakers, paper authors, and symposium attendees. If you are having difficulties, please contact us at ai4hri(a)gmail.com. Organizing Committee - Zhao Han (General Co-Chair, Colorado School of Mines, USA) - Emmanuel Senft (General Co-Chair, University of Wisconsin-Madison, USA) - Muneeb I. Ahmad (Communication Co-Chair, Swansea University, UK) - Shelly Bagchi (Communication Co-Chair, National Institute of Standards and Technology, USA) - Justin W. Hart (University of Texas at Austin, USA) - ‪Daniel Hernández García (Heriot-Watt University, UK) - Boyoung Kim (Program Co-Chair, George Mason University, USA) - Matteo Leonetti (King’s College London, UK) - Ross Mead (Semio, USA) - Reuth Mirsky (Bar Ilan University, Israel) - Ahalya Prabhakar (École Polytechnique Fédérale de Lausanne (EPFL), Switzerland) - Ruchen Wen (Program Co-Chair, Colorado School of Mines, USA) - Jason R. Wilson (Diversity & Sponsorship Chair, Franklin & Marshall College, USA) - Amir Yazdani (Publicity Chair, University of Utah Robotics Center, USA) - Megan L. Zimmerman (National Institute of Standards and Technology, USA) -- Ross Mead, PhD Founder and CEO ross(a)semio.ai +1 (618) 696-2600 <https://semio.ai>

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[Corpora-List]unsubscribe me please from this list
by I G 20 Jun '22

20 Jun '22

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[Corpora-List]First Call for Papers Global WordNet Conference 2023
by Itziar Gonzalez Dios 20 Jun '22

20 Jun '22

[Apologies for cross posting] 1st Call for Papers 12th International Global Wordnet Conference Donostia / San Sebastian, Basque Country 23-27, 2023 Global Wordnet Association: www.globalwordnet.org Conference website: https://hitz.eus/gwc2023 The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain) hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country. NOTE: COVID-19 allowing, the conference will be in person only. Organisers: Begoña Altuna, Itziar Aldabe, Xabier Arregi, Itziar Gonzalez-Dios, Aritz Farwell and Esther Miranda. Details about the Association and the full announcement for the conference can be found on the conference website: https://hitz.eus/gwc2023 We invite submissions with original contributions addressing, but not limited to, the topics listed below. Proposals for tutorials are welcome as well. * Conference Topics* Lexical semantics and meaning representation * Critical analysis and applications of lexical and semantic relations * Proposed new relations * Definitions, semantic components, co-occurrence and frequency statistics * Word, Sense and Context Embeddings * Necessity and completeness issues * Ontology and wordnet * Other lexicographical and lexicological questions pertaining to wordnet-style meaning representation * Wordnets and other modalities Architecture of lexical databases * Language independent and language dependent components * Integration of multi-wordnets in research infrastructures (like CLARIN, ELG, etc.) * Wordnets and Linked Open Data (LOD) Tools and methods for wordnet development * User and Data entry interfaces * Methods for constructing, extending and enriching wordnets * Methods for linking wordnets to other lexical and semantic resources * Methods for leveraging existing wordnets and semantic networks with large language models Applications of wordnet * Word sense disambiguation * Text generation * Commonsense reasoning * Machine translation * Information extraction and retrieval * Document structuring and categorisation * Automatic hyperlinking * Language pedagogy * Psycholinguistic applications * Embeddings and pretrained language models * Probing large neural language models Standardization, distribution and availability of wordnets and wordnet tools. * Submissions* Submissions will fall into one of the following categories (page limits exclude references): * long papers: 8 pages max, 30 minutes presentation * short papers: 5 pages max; 15 minutes presentation * project reports: 5 pages max., 10 minutes presentation * demonstrations : 5 pages max, with an additional 3 pages screen dumps or images; 20 minutes presentation Submissions should be anonymous and any identifying information must be removed. Authors must state the preferred category, though acceptance may be subject to change in the category of the presentation, e.g. a long paper submission may be accepted as a short paper. Final papers should be submitted in electronic form (PDF only). Paper submission site will be online soon. Paper submissions must use the official ACL style templates, which are available from here (Latex and Word). Please follow the paper formatting guidelines general to “*ACL” conferences available here. Authors may not modify these style files or use templates designed for other conferences. * Important Dates* September 30, 2022 Deadline for paper submission November 18, 2022 Notification of acceptance December 1, 2022 Registration opens December 23, 2022 Deadline author registration, final version paper January 23-27, 2023 Conference * Proceedings* Conference proceedings will be open access and downloadable from the GWA website. The proceedings will have an ISBN and be published in the ACL anthology. Papers are only included in the proceedings if at least one author has registered. Inclusion of accepted submissions into the final program and the proceedings is contingent upon at least one author’s registration. Late registration and on-site registration for participants is possible without inclusion of the paper and without presentation. * Conference Chairs* German Rigau - german.rigau(a)ehu.eus Francis Bond - bond(a)ieee.org * Local Organizing Chairs* Begoña Altuna - begona.altuna(a)ehu.eus Itziar Aldabe - itziar.aldabe(a)ehu.eus Xabier Arregi - xabier.arregi(a)ehu.eus Itziar Gonzalez-Dios - itziar.gonzalezd(a)ehu.eus Aritz Farwell - asfarwell(a)ehu.eus Esther Miranda - esther.miranda(a)ehu.eus * Program Committee (to be confirmed and extended)* Adam Pease, Articulate Software Ales Horak, Masaryk University Alexandre Rademaker, IBM Research Brazil and EMAp/FGV Bolette Pedersen, University of Copenhagen Christiane Fellbaum, Princeton University Darja Fiser, University of Ljubljana David Lindemann, IWiSt, University of Hildesheim Diptesh Kanojia, IIT Bombay Eneko Agirre, University of the Basque Country Ewa Rudnicka, Wrocław University of Technology Francis Bond, Palacký University Gerard De Melo, Rutgers University German Rigau, IXA Group, UPV/EHU Haldur Oim, University of Tartu Heili Orav, University of Tartu Hugo Gonçalo-Oliveira, Department of Informatics Engineering of the University of Coimbra Janos Csirik, University of Szeged John Mccrae, National University of Ireland, Galway Kadri Vider, University of Tartu Kevin Scannell, Saint Louis University Kyoko Kanzaki, Otemon Gakuin University Maciej Piasecki, Department of Computational Intelligence, Wroclaw University Marten Postma, Vrije Universiteit Amsterdam Paul Buitelaar, National University of Ireland, Galway Piek Vossen, VU University Amsterdam. Sanni Nimb, The Danish Society for Language and Literature Shan Wang, The Education University of Hong Kong Shu-Kai Hsieh, National Taiwan Normal University Sonja Bosch, Department of African Languages, University of South Africa Thierry Declerck, DFKI, Saarbruecken Tim Baldwin, The University of Melbourne Tomaž Erjavec, Dept. of Knowledge Technologies, Jožef Stefan Institute Umamaheswari Vasanthakumar, Nanyang Technological University Valeria Depaiva, Natural Language and AI Research Laboratory of Nuance Communications, Inc. Verginica Mititelu, Romanian Academy Research Institute for Artificial Intelligence

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[Corpora-List]Two postdoc positions in Transfer Learning for Demographic Factors from September 2022
by mail＠dirkhovy.com 20 Jun '22

20 Jun '22

2-year Postdoc position in Natural Language Processing on Incorporating Demographic Factors into Natural Language Processing Models Funded by ERC Starting grant INTEGRATOR <https://milanlproc.github.io/project/integrator/> Start: from September 2022 Dirk Hovy, Bocconi University and MilanLP group Posting: https://bit.ly/3tk5UR6 <https://bit.ly/3tk5UR6> Application Form: https://bit.ly/3Q5j7qv <https://bit.ly/3Q5j7qv> Project: The goal of the INTEGRATOR project is to develop novel data sets, theories, and algorithms to incorporate demographic factors into language technology. This will improve performance of existing tools for all users, reduce demographic bias, and enable completely new applications. Language reflects demographic factors like our age, gender, etc. People actively use this information to make inferences, but current language technology (NLP) fails to account for demographics, both in language understanding (e.g., sentiment analysis) and generation (e.g., chatbots). This failure prevents us from reaching human-like performance, limits possible future applications, and introduces systematic bias against underrepresented demographic groups. Solving demographic bias is one of the greatest challenges for current language technology. Failing to do so will limit the field and harm public trust in it. Bias in AI systems recently emerged as a severe problem for privacy, fairness, and ethics of AI. It is especially prevalent in language technology, due to language's rich demographic information. Since NLP is ubiquitous (translation, search, personal assistants, etc.), demographically biased models creates uneven access to vital technology. Despite increased interest in demographics in NLP, there are no concerted efforts to integrate it: no theory, data sets, or algorithmic solutions. INTEGRATOR will address these by identifying which demographic factors affect NLP systems, devising a bias taxonomy and metrics, and creating new data. These will enable us to use transfer and reinforcement learning methods to build demographically aware input representations and systems that incorporate demographics to improve performance and reduce bias. Demographically aware NLP will lead to high-performing, fair systems for text analysis and generation. This ground-breaking research advances our understanding of NLP, algorithmic fairness, and bias in AI, and creates new research resources and avenues. Successful candidates will work actively on novel directions in NLP, machine learning, and neural networks for representation learning, and transfer learning in various languages, and collaborate closely with Prof. Hovy as well as the lab. The candidates will innovate in both NLP and social sciences. Successful candidates will have to prove * excellent programming skills in Python (additional languages like C++, R, Julia are a plus), * knowledge of current neural network models for transfer and few-shot learning and * implementation tools for neural networks (e.g. PyTorch, Tensorflow, etc.) * prove strong track record in top-tier venues in the field of NLP/ Machine Learning. * fluency in spoken and written English. Knowledge of Italian is NOT a requirement. INFORMATION * Application deadline: July 7 2022 * Skype interviews will take place during July 2022 * Starting date: from September 2022, or any time thereafter * Duration: 2 years, 1 year extension possible * Salary: 42k EUR gross per annum (median salary in Milan is 37k EUR). Applicants from outside Italy may qualify for a researcher taxation scheme with reduced tax load. HOW TO APPLY The official application must be sent via https://bit.ly/3Q5j7qv <https://bit.ly/3Q5j7qv> Informal enquiries can be sent by email to Dirk Hovy (dirk.hovy(a)unibocconi.it <mailto:dirk.hovy@unibocconi.it>). You can find more information about the call here: https://bit.ly/3tk5UR6 <https://bit.ly/3tk5UR6>

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Fully-funded PhD position “Computer Science: Computational Linguistics & Corpus Annotation” (m/f/d), TIB – Leibniz Information Centre for Science and Technology, Germany
by Jennifer D'Souza 20 Jun '22

20 Jun '22

**Deadline fast-approaching** Dear colleagues and friends, The Data Science and Digital Libraries <https://www.tib.eu/en/research-development/research-groups-and-labs/data-sc…> at the TIB – Leibniz Information Centre for Science and Technology and University Library <https://www.tib.eu/en/> invites applications for a Research Associate/PhD Candidate with the following specializations: Natural Language Processing; Computational Linguistics; Corpus Annotation. *Description: * The PhD topics will be in the context of the Open Research Knowledge Graph ( https://www.orkg.org) and the project “SCINEXT - Neural-Symbolic Scholarly Innovation Extraction”, funded by the Federal Ministry of Education and Research (BMBF). The aim of these projects is to research and develop techniques for crowdsourcing, representing and managing semantically structured, rich representations of scholarly contributions and research data in knowledge graphs and thus develop a novel model for scholarly communication. In the context of the PhD thesis you will be responsible for conducting independent and original scientific research involving corpus development and annotation in organizing research contributions in the ORKG in a structured, semantic way, so other researchers can get a quick overview on the state-of-the-art in the field. You will participate in local, national and international collaboration activities. Given the multidisciplinary nature of the programme, we encourage applicants with a strong curiosity and interest in Science to apply. The tasks will focus on - Collaborating with researchers from different disciplines to gain familiarity with research problems and their contribution descriptions expressed in scholarly literature. - Conceptually designing, modelling and implementing ontology-based knowledge representations for crowdsourcing of the Open Research Knowledge Graph. - Annotation and curation of multidisciplinary scholarly contribution descriptions. *Application Deadline:** June 28th 2022* *Please apply online here:* https://www.tib.eu/en/tib/careers-and-apprenticeships/vacancies/details/ste… *Contact Information: *Dr. Jennifer D'Souza *Email:* jennifer.dsouza(a)tib.eu Best regards, Jennifer

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[Corpora-List]Call for Participation: Shared Task on Indian Language Summarization (ILSUM 2022)
by Parth Mehta 20 Jun '22

20 Jun '22

Apologies for the multiple postings. ---- *Indian Language Summarization (ILSUM 2022)* Website: https://ilsum.github.io/ To be organized in conjunction with FIRE 2022 (fire.irsi.res.in) 9th-13th December 2022 (Hybrid Event, hosted in Kolkata) Registration Deadline*: 22nd July 2022* ------------------------------------------------------- The first shared task on Indian Language Summarization (ILSUM) aims at creating an evaluation benchmark dataset for Indian Languages. While large-scale datasets exist for a number of languages like English, Chinese, French, German, Spanish, etc. no such datasets exist for any Indian languages. Through this shared task, we aim to bridge the existing gap. In the first edition, we cover two major Indian languages Hindi and Gujarati alongside Indian English, a widely recognized dialect of the English Language. It is a classic summarization task, where we will provide ~10,000 article-summary pairs for each language and the participants are expected to generate a fixed-length summary. *Timeline* ------------- 8th June - Task announced and Registrations open 22nd June - Training Data Release 1st August - Test Data Release 8th August - Run Submission Deadline 15th August - Results Declared 15th September - Working notes due 9th-13th December - FIRE 2022 (Hybrid Event hosted at Kolkata) *Organisers* ---------------- Bhavan Modha, University of Texas at Dallas, USA Shrey Satapara, Indian Institute of Technology, Hyderabad, India Sandip Modha, LDRP-ITR, Gandhinagar, India Parth Mehta, Parmonic, USA *For regular updates subscribe to our mailing list: **ilsum(a)googlegroups.com <+ilsum(a)googlegroups.com>* Regards, Parth Mehta Co-organiser, ILSUM 2022

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[Corpora-List]automatic stance detection
by Florentina Hristea 20 Jun '22

20 Jun '22

Dear all, On behalf of “Frontiers”, the third most cited publisher, I’m happy to let you know that a new research topic has been launched and will be supervised by Cornelia Caragea and myself: automatic stance detection. Contributions to “Frontiers in Artificial Intelligence” and/or “Frontiers in Big Data” concerning this hot topic are invited. We are collaborating primarily with “Frontiers in Artificial Intelligence”, but both types of submissions are possible – as you will see in the research topic’s presentation page. Stance detection in natural language texts deals with determining the position (or stance) of a text producer towards a target or a set of targets. This Research Topic specifically addresses all aspects related to stance detection and its applications, both from a theoretical and practical viewpoint. We are looking for contributions in the form of Review, Original Research, Brief Research Report, Perspective, Technology and code etc. submission articles on substantial, original, and unpublished research in the following areas, including, but not limited to: • sentiment analysis in stance detection • perspective identification in stance detection • sarcasm/irony detection in stance detection • controversy detection in stance detection • argument mining in stance detection • biased language detection in stance detection • novel algorithms for stance detection: feature-based machine learning approaches, deep learning approaches, and ensemble learning approaches • novel datasets for stance detection You can check this research topic’s detailed presentation, submission deadlines and instructions for authors at: https://www.frontiersin.org/research-topics/40998/automatic-stance-detection Please note that submitting papers is possible even in the absence of a previously submitted abstract (although we would appreciate knowing what to expect in advance). Submission deadline can be extended by one month (but no longer) upon request. For any questions regarding the topic itself, submission etc., please don’t hesitate to contact me (fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro>). Looking forward to receiving your contributions, Florentina Hristea https://cs.unibuc.ro/~fhristea/

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[Corpora-List]CoCo4MT 2nd CFP - The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation
by Shabnam Tafreshi 19 Jun '22

19 Jun '22

-- Apologies for cross posting -- The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT)https://sites.google.com/view/coco4mt @ AMTA – 2022 This 15th biennial conference of the Association for Machine Translation in the Americas 12-16 September 2022, Orlando, Florida, USA INVITED TALKS Julia Kreutzer Google Research More TBA... SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT sets out to be the first workshop centered around research that focuses on corpora creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any spoken language (including high-resource languages) but we are specifically interested in those submissions that are on languages with limited existing resources (low-resource languages) where resources are not highly available. The goal of this workshop is to begin to close the gap between corpora available for low-resource translation systems and promote high-quality data for online systems that can be used by native speakers of low-resource languages is of particular interest. Therefore, It will be beneficial if the techniques presented in research papers include their impact on the quality of MT output and how they can be used in the real world. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that submissions will provide high-quality corpora that is available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. TOPICS We are highly interested in original research papers on the topics below; however, we welcome all novel ideas that cover research on corpora techniques. - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SUBMISSION INFORMATION There is one type of submission in the workshop: Research, review and position paper. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official AMTA 2022 style templates (PDF, LaTeX, Word). Accepted papers will be published on-line in the AMTA 2022 proceedings which includes the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be done using the official conference management system (https://cmt3.research.microsoft.com/AMTA2022). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES June 1, 2022 – Call for papers released June 15, 2022 – Second call for papers June 29, 2022 – Third and final call for papers July 13, 2022 – Paper submissions due July 27, 2022 – Notification of acceptance August 7, 2022 – Camera-ready due August 31, 2022 – Video recordings due September 16, 2022 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizerscoco4mt2022(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Constantine Lignos Brandeis University John E. Ortega New York University and University of Santiago de Compostela (CITIUS) Katharina Kann University of Colorado Boulder Maja Popopvić ADAPT Centre at Dublin City University Marine Carpuat University of Maryland Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Amirhossein Tebbifakhr University of Trento Anna Currey Amazon Arturo Oncevay University of Edinburgh Atul Kr. Ojha National University of Ireland Galway Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleni Metheniti Université Toulosse - Paul Sabatier Francis Tyers Indiana University Jasper Kyle Catapang University of Birmingham John E. Ortega New York University and USC - CITIUS José Ramom Pichel Campos Universidade de Santiago de Compostela - CITIUS Kalika Bali Microsoft Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Pablo Gamallo Universidade de Santiago de Compostela - CITIUS Rico Sennrich University of Zurich Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xu Weijia University of Maryland -- *Shabnam Tafreshi, PhD* *Assistant Research Scientist* *Computational Linguistics, NLP* *UMD: ARLIS @ College Park* *"All the problems of the world could be settled easily, if people only willing to think."* *-Thomas J. Watson*

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[Corpora-List][CfP] LaCATODA 2022 at ACII 2022, Nara, Japan (Linguistic and Cognitive Approaches to Dialog Agents)
by Ptaszynski Michal 19 Jun '22

19 Jun '22

Dear Colleagues, ** Sorry for cross-postings ** This year our workshop LaCATODA 2022 will be co-located with ACII 2022. Please, consider submitting a paper. The accepted papers will be published in the ACII workshop proceedings indexed by IEEExplore. Best regards, Michal Ptaszynski in the name of LaCATODA 2022 organizers, Michal PTASZYNSKI, Ph.D., Associate Professor Department of Computer Science Kitami Institute of Technology, 165 Koen-cho, Kitami, 090-8507, Japan TEL/FAX: +81-157-26-9327 michal(a)mail.kitami-it.ac.jp http://arakilab.media.eng.hokudai.ac.jp/~ptaszynski/ ========================================================== The Eighth Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2022) (ACII 2022 Workshop) http://arakilab.media.eng.hokudai.ac.jp/ACII2022/ Venue: Nara, Japan & online (in conjunction with ACII, https://acii-conf.net/2022/) ========================================================== WHAT IS LaCATODA? A multidisciplinary workshop for researchers who develop dialog agents and methods for achieving more natural machine-generated conversation or study problems of human communication which are difficult to mimic algorithmically. We are interested in original papers on systems and ideas for systems that use common sense knowledge and reasoning, affective computing, cognitive methods, learning from broad sets of data and acquiring knowledge, or language and user preferences. ------------------------------------------------------------------ Important Dates: Paper submission: 20 July 2022 (11:59PM UTC-12:00, "anywhere on Earth") Notification of acceptance: 4 August 2022 Camera-Ready submission: 14 June 2022 LaCATODA 2022 Workshop: 17 October 2022 Submission: https://easychair.org/conferences/?conf=lacatoda2022 ------------------------------------------------------------------ Relevant Topics: - Affective computing - Agent-based information retrieval - Attention and focus in dialog processing - Artificial assistants - Artificial tutors - Common sense, knowledge and reasoning - Computational cognition - Conversational theories - Daily life dialog systems - Emotional intelligence simulations - Ethical reasoning - Humor processing - Language acquisition - Machine learning for / from dialogs - Text mining for / from dialogs - Philosophy of interaction / communication - Preference models - Unlimited question answering - User modeling - Wisdom of Crowds approaches - World knowledge acquisition - Systems and approaches combining above topics Organizers: Rafal Rzepka, Hokkaido University, Japan Jordi Vallverdú, Autonomous University of Barcelona, Spain Andre Wlodarczyk, Charles de Gaulle University, France Michal Ptaszynski, Kitami institute of Technology, Japan Pawel Dybala, Jagiellonian University, Poland

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[Corpora-List]Johns Hopkins University: Postdoc Positions
by Mark Dredze 17 Jun '22

17 Jun '22

The Center for Language and Speech Processing (CLSP) at Johns Hopkins University seeks applicants for postdoctoral fellowship positions in speech and language processing, including the areas of natural language processing, machine learning and health informatics. Applicants must have a Ph.D. in a relevant discipline and a strong research record. Possible research topics include: - Explainable AI, natural language processing and medicine - Text generation and training large language models - Information extraction, retrieval, question answering, and human-in-the-loop learning Johns Hopkins University is a private university located in Baltimore, Maryland with easy access to a number of affordable and vibrant neighborhoods. CLSP is one of the world’s largest academic centers focused on speech and language with a dozen faculty members and over 80 graduate students. It has a history of placing students in top academic and industry positions. Applicants are not required to be US citizens or permanent residents. Details and application information: https://www.clsp.jhu.edu/employment-opportunities/

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[Corpora-List][CFP] 2nd Multilingual Representation Learning (MRL) Workshop at EMNLP 2022
by Gozde Gul 17 Jun '22

17 Jun '22

Dear all, It is our great pleasure to invite you to the second edition of multilingual representation learning that will be held at EMNLP 2022 (as a hybrid WS) on December 8, 2022. The details regarding the paper submission and the shared task are given below: ----------------------------- IMPORTANT DATES ----------------------------- *- Latest ARR deadline for paper submissions: September 1, 2022* - The last ARR commitment deadline: October 15, 2022 - Paper notifications: November 2, 2022 - Camera-Ready Papers due: November 9, 2022 - Main Conference: December 7-11, 2022 *- Workshop: December 8, 2022* (All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”)) --------------------------- AIMS AND SCOPE --------------------------- The 2nd MRL Workshop invites participants to share and discuss recent findings on multi-lingual representation learning methods and their application in different settings. The main objectives of the workshop will be: To construct and present a wide array of multi-lingual representation learning methods, including their theoretical formulation and analysis, practical aspects such as the application of current state-of-the-art approaches in transfer learning to different tasks or studies on adaptation into previously under-studied context; To provide a better understanding on how the language typology may impact the applicability of these methods and motivate the development of novel methods that are more generic or competitive in different languages; To promote collaborations in developing novel software libraries or benchmarks in implementing or evaluating multi-lingual models that would accelerate progress in the field. By allowing a communication means for research groups working on machine learning, linguistic typology, or real-life applications of NLP tasks in various languages, to share and discuss their recent findings, our ultimate goal is to support rapid development of NLP methods and tools that are applicable to a wider range of languages. ---------------------- SUBMISSIONS ---------------------- Research papers: We invite all potential participants to submit their novel research contributions in the related fields as long papers following the EMNLP 2021 long paper format (anonymized with 8 pages excluding the references, and an additional page for the camera-ready versions for the accepted papers). All accepted research papers will be published as part of our workshop proceedings and presented either as oral or poster presentations. Our research paper track only accepts submissions made to the ACL Rolling Review. Extended abstracts: Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our non-archival extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. Extended abstracts can be submitted to the workshop submission system using the softconf link: https://softconf.com/emnlp2022/mrl-2022 <https://urldefense.proofpoint.com/v2/url?u=https-3A__softconf.com_emnlp2022…> . ---------------------- Shared Task ---------------------- MRL 2022 features a new shared task on Multilingual Clause-level Morphology, which aims to provide a new evaluation benchmark for assessing multilingual representation learning models in terms of linguistic and cross-lingual generalization capabilities. We invite all interested peers in getting in touch about participation following the website https://sigtyp.github.io/st2022-mrl.html and mailing list participants-mcmsharedtask-2022(a)googlegroups.com. We anticipate awarding a prize for the shared task winning team and a presentation devoted to them. ------------------------- Best Paper Award ------------------------- A Best Paper Award will be presented at the workshop. ------------------------- Invited Speakers ------------------------- Ev Fedorenko, Massachusetts Institute of Technology Kyunghyun Cho, New York University Razvan Pascanu, DeepMind ------------------------ *Contact * Email: mrlw2022(a)gmail.com Website: https://sigtyp.github.io/ws2022-mrl.html *Organizers: * Duygu Ataman Orhan Firat Hila Gonen Jamshidbek Mirzakhalov Kelechi Ogueji Sebastian Ruder Gözde Gül Şahin On behalf of the organization committee, --------------------------- Gözde Gül Şahin Assistant Professor Computer Engineering Department Koç University https://gozdesahin.github.io/

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[Corpora-List]Webminar by Mikel Artetxe (FAIR (Meta AI))
by HiTZ zentroa 16 Jun '22

16 Jun '22

Dear colleague, The last post concerning the upcoming HiTZ webinar included incorrect information about the summary. This email contains the correct information. Apologies for the mix up! We are happy to announce an additional webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). Instead of the usual afternoon hour, it will take place at 10:00am CET (June 24). Next webinar: Speaker: Mikel Artetxe (FAIR (Meta AI)) Title: Is scale all you need? Date: Jun 24, 2022, 10:00 CET Summary: Every once in a while, a new language model with gazillion parameters makes a big splash in Twitter, smashing the previous SOTA in some benchmarks or showing some impressive emerging capabilities. While some may argue that scaling will eventually solve NLP, others are skeptical about the scientific value of this trend. In this talk, I will argue that scaling is not just engineering, but also comes with exciting research questions. I will present some of our recent work in the topic, and discuss our efforts to make large language models more accessible for the community. Bio:Mikel Artetxe is a Research Scientist at FAIR (Meta AI). His primary area of research is multilingual NLP. Mikel was one the pioneers of unsupervised machine translation, and has done extensive work on cross-lingual representation learning. More recently, he has also been working on natural language generation, few-shot learning, and large-scale language models. Prior to joining FAIR, Mikel did his PhD at the IXA group at the University of the Basque Country, and interned at DeepMind, FAIR and Google. Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa Unsuscribe: If you do not wish to receive further emails from us, please feel free to contact us

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[Corpora-List]Webminar by Mikel Artetxe (FAIR (Meta AI))
by HiTZ zentroa 16 Jun '22

16 Jun '22

*** We apologize for the multiple copies of this email. In case y Dear colleague, We are happy to announce an additional webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). Instead of the usual afternoon hour, it will take place at 10:00am CET (June 24). Next webinar: Speaker: Mikel Artetxe (FAIR (Meta AI)) Title: Is scale all you need? Date: Jun 24, 2022, 10:00 CET Summary: The development of advanced spoken language technologies based on automatic speech recognition (ASR) and text-to-speech synthesis (TTS) has enabled computers to either learn how to listen or speak. Many applications and services are now available but still support fewer than 100 languages. Nearly 7000 living languages that are spoken by 350 million people remain uncovered. This is because the construction is commonly done based on machine learning trained in a supervised fashion where a large amount of paired speech and corresponding transcription is required. In this talk, we will introduce a semi-supervised learning mechanism based on a machine speech chain framework. First, we describe the primary machine speech chain architecture that learns not only to listen or speak but also to listen while speaking. The framework enables ASR and TTS to teach each other given unpaired data. After that, we describe the use of machine speech chain for code-switching and cross-lingual ASR and TTS of several languages, including low-resourced ethnic languages. Finally, we describe the recent multimodal machine chain that mimics overall human communication to listen while speaking and visualizing. With the support of image captioning and production models, the framework enables ASR and TTS to improve their performance using an image-only dataset. Summary: Every once in a while, a new language model with gazillion parameters makes a big splash in Twitter, smashing the previous SOTA in some benchmarks or showing some impressive emerging capabilities. While some may argue that scaling will eventually solve NLP, others are skeptical about the scientific value of this trend. In this talk, I will argue that scaling is not just engineering, but also comes with exciting research questions. I will present some of our recent work in the topic, and discuss our efforts to make large language models more accessible for the community. Bio:Mikel Artetxe is a Research Scientist at FAIR (Meta AI). His primary area of research is multilingual NLP. Mikel was one the pioneers of unsupervised machine translation, and has done extensive work on cross-lingual representation learning. More recently, he has also been working on natural language generation, few-shot learning, and large-scale language models. Prior to joining FAIR, Mikel did his PhD at the IXA group at the University of the Basque Country, and interned at DeepMind, FAIR and Google. Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa Unsuscribe: If you do not wish to receive further emails from us, please feel free to contact us

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[Corpora-List]Permanent position as Associate Professor in NLP
by Marco Kuhlmann 15 Jun '22

15 Jun '22

[Final reminder; deadline 2022-06-22] The Natural Language Processing Group at Linköping University is announcing a permanent, full-time position as Associate Professor in Natural Language Processing For more information about this position and how to apply, see https://www.ida.liu.se/divisions/aiics/nlp/associate-professor.html Please do not hesitate to contact me for details and discussion. Best regards Marco Kuhlmann Professor Department of Computer and Information Science Linköping University

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[Corpora-List]Call for internships in Semantic Change detection
by Nina Tahmasebi 15 Jun '22

15 Jun '22

Dear Colleagues, The Change is Key! Programme (https://changeiskey.org/) and the Towards Computational Lexical Semantic Change Detection project (https://languagechange.org/) are offering up to three internships for PhD students and postdocs working on computational models for semantic change. Internship dates: between 2022/10/01 until 2023/06/30 Duration: between 3 and 6 months Location: University of Gothenburg (Sweden) or Queen Mary University London (UK) or IMS Stuttgart (Germany) These are unpaid internships. Travel and accommodation are provided by the host universities You can find more about the internships here: https://www.changeiskey.org/post/22-06-13-call-for-internships/ We look forward to your application! -- Nina N. Tahmasebi, Associate Professor Språkbanken • Change is Key! +46 (0) 31 786 6953 nina.tahmasebi(a)gu.se<mailto:nina.tahmasebi@gu.se> http://spraakbanken.gu.se/eng/personal/nina https://changeiskey.org/ https://languagechange.org/ http://tahmasebi.se/ https://gu-se.zoom.us/my/ninatahmasebi “If at first, the idea is not absurd, then there is no hope for it” -Albert Einstein.

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[Corpora-List]Research software engineer in the area of corpus linguistics / Deadline extension to 2022-07-01
by Marc Kupietz 15 Jun '22

15 Jun '22

Job advertisement(see original version here) The Leibniz Institute for the German Language (IDS) in Mannheim, founded in 1964, is the leading international scientific centre for the documentation and research of the German language and its use in the present and recent history. The IDS has an annual budget of around 13.6 million Euro and currently employs 220 staff. Together with 96 other non-university research and infrastructure institutions, it belongs to the Leibniz Association. The IDS has a vacancy for the following full-time (39.5 hours per week) or part-time (at least 65%) position in the Department of Digital Linguistics: Research Associate Research Software Engineer (RSE): Development & Operation in the field of corpus linguistics / text mining (Reference number 19/2022) The employment relationship is limited to up to 2 years, depending on personal requirements. Remuneration is dependent on your qualifications and experience up to pay group 13 TV-L. The position is located in the program area of corpus linguistics, which, among other things, develops the German Reference Corpus (DeReKo), an electronic research data basis for German linguistics, and the methods and research tools necessary for its linguistic use. Your area of responsibility essentially includes * Further development and operation of research software for the linguistic analysis of very large text corpora * Collaboration on scientific publications * Development of software tests for scientific quality management * Development and operation of DevOps workflows * Collaboration in the administration and maintenance of CentOS/Rocky Linux servers (especially Apache HTTP Server, Gerrit Code Review, systemd) * Continuous security and dependency updates Requirements * A completed university degree or doctorate in linguistics, computational linguistics, digital humanities or a comparable degree * Experience in research software development and big data analysis and processing * Programming experience, ideally with Java, C and Perl * Experience in Unix system administration * Experience with the version management system git * Very good language skills in German or English Knowledge in several of the following areas is also desirable: * Knowledge of IT security, AAI, OAuth * Knowledge in the area of DevOps * Experience with CI workflows (github or gitlab) * Experience in the area of container virtualization (Docker, Podman, …) We offerWorking in a committed FOSS-RSE team and the opportunity to productively use the latest and innovative RSE technologies. An interesting scientific field of work in a large research institute, in which there are many opportunities for cooperation both within and across projects. We support our employees in gaining further academic qualifications. We also offer an attractive pension scheme, cost subsidies for childcare and performance-related remuneration in accordance with the collective agreement of the Länder. IDS pursues the goal of professional equality between women and men and strives to increase the proportion of women in those areas in which they are underrepresented. Applications from women are therefore expressly welcome. The compatibility of work and family is particularly promoted by the IDS. IDS welcomes applications from severely disabled persons. Please send your convincing written application (letter of motivation, curriculum vitae, references, if applicable list of publications) summarised in a PDF document (max. 5 MB) by 10 June 1 July 2022 by e- mail to: Leibniz Institute for the German Language (IDS) Staff position E-mail: [bewerbungen(at)ids-mannheim.de] The interviews are expected to take place via online video conference. For further information, please contact Dr Marc Kupietz by e-mail at [kupietz(at)ids-mannheim.de.]

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[Corpora-List]June 2022 Newsletter - LDC
by Penn LDC 15 Jun '22

15 Jun '22

In this newsletter: LDC at LREC 2022 LDC data and commercial technology development 30th Anniversary Highlight: TIMIT New publication: Second DIHARD Challenge Evaluation - Eleven Sources<https://catalog.ldc.upenn.edu/LDC2022S06> ________________________________ LDC at LREC 2022 LDC will attend the 13th Language Resource Evaluation Conference (LREC2022<https://lrec2022.lrec-conf.org/en/>), hosted by ELRA, the European Language Resource Association, in Marseille, France June 20-25, 2022. Several LDC staff members will be presenting current work on topics including WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition; Reflections on 30 Years of Language Resource Development and Sharing; A Study in Contradiction: Data and Annotation for AIDA Focusing on Informational Conflict in Russia-Ukraine Relations; Data Protection, Privacy and US Regulation; BeSt: The Belief and Sentiment Corpus; and more. Stay tuned for specific announcements on LDC's social media pages regarding presentation times and locations. Following the conference, LDC's presented papers and posters will be available on the Papers Page.<https://www.ldc.upenn.edu/language-resources/papers/ldc-papers> LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. 30th Anniversary Highlight: TIMIT The TIMIT Acoustic-Phonetic Continuous Speech Corpus is another of the classic releases in LDC's Catalog. Designed for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems, it contains recordings of 630 American English speakers each reading 10 phonetically rich sentences, for a total of 6300 utterances comprising 2342 distinct sentences. Data collection and annotation were a joint effort by Texas Instruments, the Massachusetts Institute of Technology, and SRI International, and the data release was prepared by NIST (National Institute of Standards and Technology). TIMIT was among the first publications that appeared with the launch of LDC's catalog in 1993. It remains one of the Consortium's top ten distributed corpora and may be the single most widely-used speech database. Despite its age and small size relative to modern data sets, TIMIT's wide range of phonetically-representative inputs, its time-aligned lexical and phonemic transcripts, and its easy availability through the LDC Catalog have contributed to its widespread use and continued popularity. Thousands of researchers remember its famous first sentence: "she had your dark suit in greasy wash water all year". LDC continues the TIMIT series with its Global TIMIT project which aims to create a series of corpora in a variety of languages with TIMIT-like features. (Chanchaochai et al., 2018). Data sets published from that project include: Global TIMIT Learner Treebank English, Global TIMIT Learner Simple English, Global TIMIT Mandarin Chinese - Guanzhong Dialect, and Global TIMIT Mandarin Chinese. The LDC Catalog features over 900 holdings in more than 90 languages and more data is added each year. All TIMIT corpora are available for licensing by Consortium members and non-members. Visit Obtaining Data<https://www.ldc.upenn.edu/language-resources/data/obtaining> for more information. ________________________________ New publication: Second DIHARD Challenge Evaluation - Eleven Sources<https://catalog.ldc.upenn.edu/LDC2022S06> was developed by LDC and contains approximately 20 hours of English and Chinese speech data along with corresponding annotations used in support of the Second DIHARD Challenge<https://dihardchallenge.github.io/dihard2>. The DIHARD second development and evaluation sets were drawn from diverse sources including monologues, map task dialogues, broadcast interviews, sociolinguistic interviews, meeting speech, speech in restaurants, clinical recordings, extended child language acquisition recordings, and web videos. Annotations include diarization and segmentation. Second DIHARD Challenge Evaluation - Eleven Sources is distributed via web download. 2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options; or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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[Corpora-List][CfP] METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS RESEARCH
by Tirthankar Ghosal 15 Jun '22

15 Jun '22

METRICS 2022: ASIS&T VIRTUAL WORKSHOP ON INFORMETRICS AND SCIENTOMETRICS RESEARCH Virtual workshop sponsored by ASIS&T SIG/MET ASIS&T 2022 Annual Meeting - Part I: Saturday, October 8, 2022, 8:00 a.m. – 12:00 p.m. EDT - Part II: Sunday, October 9, 2022, 8:00 a.m. – 12:00 p.m. EDT Website: https://www.asist.org/2022/06/14/metrics-2022-asist-virtual-workshop-on-inf… *CALL FOR ABSTRACTS* The ASIS&T Special Interest Group for Metrics (SIG/MET) invites contributions to the METRICS 2022 workshop, which will be held prior to the 85th ASIS&T Annual Meeting. The workshop continues the successful SIG/MET workshop series held annually since 2011 by providing an opportunity to present and discuss research related to the measurement of knowledge production, dissemination, and use among experienced researchers, young academics, and practitioners. We invite abstracts describing empirical or theoretical work, related but not limited to: - Altmetrics - Bibliometric-enhanced information retrieval - Bibliometrics - Informetrics - Open access - Open science - Patent analysis - Quantitative science studies - Research evaluation - Scholarly communication - Science communication - Science of science - Scientometrics *SUBMISSIONS* The following four types of submission are accepted: - *Research presentations*, for completed or in-progress research. [Presentation] - *Posters* for work in early stages or best presented visually. [Poster] - *Tutorials* for practical information on a tool or method. [Tutorial] - *Panels* for discussions on a specific topic. [Panel] Please indicate the type of submission by naming the file in the following format: Metrics22_First Author's Last Name + First Name Initials_Submission Type (e.g., Metrics22_ChenPY_Presentation). All submissions should be in the form of a *two-page extended abstract* using APA style and formatted according to the AM22 Proposal Template Instructions <https://growthzonesitesprod.azureedge.net/wp-content/uploads/sites/946/Temp…>. Where appropriate, up to three figures/tables can be provided. Do not include any author names on the file you upload. The abstracts of accepted papers and posters, as well as the presentation slides, will be deposited on Zenodo <https://zenodo.org/> to enhance the visibility and retrievability of the presented research. Please submit your abstract as a PDF to https://easychair.org/conferences/?conf=metrics2022 *Submissions will be evaluated by at least two independent reviewers based on their relevance to the workshop and their methodological soundness (where applicable), and brief feedback will be given in narrative format.* *AWARDS* Thanks to the generous sponsorship from the International Center for the Study of Research (ICSR) <https://www.elsevier.com/icsr>, the workshop will present the *Best Student Paper Awards* and *Best Paper Award* this year to recognize the excellence of the presenting work (excluding *posters*). Up to three awardees will be selected for the Best Student Paper Awards. *To be considered for the best student paper, the first author of the paper entered into this contest must be a full-time student at the time of submission*, irrespective of ASIS&T or SIG/MET membership. Please also indicate Student on the name of the submitted file, e.g., Metrics22_ChenPY_Presentation_Student, even if the co-authors are non-students. One best paper will also be selected from all accepted papers regardless of their topic. However, to ensure fairness, a paper cannot be awarded both as best paper and best student paper at the same time. In other words, if a student paper is selected to be the best paper, it will not be considered for the best student paper awards. *The winners of both awards will be decided by a double-blind peer review process from the eligible accepted submissions.* The awards will be decided before the presentations take place, but the authors must present at the workshop to qualify. *We offer a cash prize of $500 for the Best Paper Award and $250 for the Best Student Paper Award.* *IMPORTANT DATES* - Submissions due: Friday, July 22th, 2022 EDT - Notifications: Friday, August 19th, 2022 EDT *REGISTRATION* In an effort to provide an open venue for communication and discussion on metrics-related research, we are offering free registration for ASIS&T members and discounted registration fees for non-members this year. *Rate* *Member/Regular* *Member/Student* *Non-member/Regular* *Non-member/Student* Early (by August 12) $0 $0 $25 $10 After August 12 $25 $25 $50 $35 More information on registration rates can be found at https://www.asist.org/am22/22registration/. *ORGANIZERS* - Pei-Ying Chen, Indiana University, Bloomington, Indiana, USA ( peiychen(a)iu.edu) - Isabelle Dorsch, Heinrich Heine University Düsseldorf, Düsseldorf, Germany (isabelle.dorsch.hhu.de) - Fei Shu, Hangzhou Dianzi University, Hangzhou, China; Université de Montréal, Montréal, Canada (fei.shu(a)mail.mcgill.ca) *SPONSORS* International Center for the Study of Research <https://www.elsevier.com/icsr> -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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[Corpora-List]M3G COST Action Training School on Creative Natural Language Generation - call for applications
by Irene Russo 15 Jun '22

15 Jun '22

The Multi3Generation COST Action (www.multi3generation.eu) aims at promoting interdisciplinary research in Natural Language Generation, combining computationally-oriented methodology with theories and insights from the humanities (computational linguistics, psychology, media studies, philological and literary studies, etc.) The 2022 Multi3Generation training school on Creative Natural Language Generation wants to foster interdisciplinary collaborations among scholars and young researchers, delivering lectures, hands-on sessions, and keynotes on the state-of-the-art methodologies of Natural Language Generation and (computational) creativity. Automatic generation of texts is an essential task in artificial intelligence and is widely used to produce content shared on the web. However, evaluation of fluency and grammaticality of automatically created texts requires feedback provided by humans to improve the quality of the training data. Collecting judgments is challenging, and the annotation results' reproducibility is sometimes questioned. Evaluation of text generated by computationally creative systems poses further challenges: the output needs to be fluent while ensuring that the content should also take into account the literature about (computational) creativity for analysing creative output. Analysing such creative output relies on the genre of the text and readers' expectations. The training school programme will address research questions such as: - What are the theoretical aspects for evaluating the creativity of artificially generated text? - How crucial is the training set for generating plausible instances, such as for metaphor generation? - Are theoretical insights from literary studies suitable for producing better training sets? The training school is intended for academics at any stage of their career (with priority given to Early Career Investigators), especially if working with literary texts and datasets combining texts with images. The training school will be held at the University Ca' Foscari in Venice from 19 September to 23 September 2022. The training school will take place over 5 days, combining theoretical lessons with hands-on sessions and invited speakers' talks. Invited speakers: Alexandra Balahur (Joint Research Centre European Commission), Mario Montenapoleone (University of Salerno), Carlo Strapparava (FBK), Tony Veale (University College Dublin) Lecturers/Trainees: Khalid Alnajjar (University of Helsinki), Federico Boschetti (CNR-ILC & VeDPH), Mika Hämäläinen (University of Helsinki), Gianluca Lebani (Ca’ Foscari University of Venice), Monica Monachini (CNR-ILC & CLARIN-IT), Cristina Mota (INESC-ID Lisboa), Ioannis Pavlopoulos (Athens University of Economics and Business), Max Silberztein (Université de Franche-Comté) Organisers: Irene Russo (CNR-ILC), Federico Boschetti (CNR-ILC & VeDPH), Max Silberztein (Université de Franche-Comté), Khalid Alnajjar (University of Helsinki), Mika Hämäläinen (University of Helsinki) The training school is organised with the support of the Venice Centre for Digital and Public Humanities, DSU, Ca’ Foscari University of Venice (https://www.unive.it/pag/39287) and with the support of CLARIN-IT (https://clarin-it.it). The application form is available at https://forms.gle/DjGHWsc99ZpkB1yMA Selected participants will receive a grant to attend the training school (see the application form for further details). The deadline for applying is June 30, 2022.

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[Corpora-List]Promotional video MA in "Linguistic Computing" (Milan)
by Passarotti Marco Carlo (marco.passarotti) 15 Jun '22

15 Jun '22

Dear all, Please find below the YouTube link to the promotional video of the new Master Degree in “Linguistic Computing” (LM-39: Linguistics), that will be started in October 2022 at Università Cattolica of Milan, Italy: https://www.youtube.com/watch?v=K23WlWXATMs All best, Marco Prof. Marco C. Passarotti Computational Linguistics Index Thomisticus Treebank https://itreebank.marginalia.it/ ERC Grantee, P.I. LiLa https://lila-erc.eu/ (Grant Agreement No. 769994) CIRCSE Research Centre https://centridiricerca.unicatt.it/circse_index.html [cid:38DBA4B0-3169-48DD-B59A-4F3A679F9DD9@lan] [cid:D415BF3A-E244-4BC4-9FB5-064066B300AD@lan] [cid:13BA173A-59CB-4F2D-9B90-DE302E870A50@lan] Università Cattolica del Sacro Cuore Largo Gemelli, 1 20123 Milan, Italy marco.passarotti(a)unicatt.it<mailto:marco.passarotti@unicatt.it> tel. +39-02-72342380 [http://static.unicatt.it/ext-portale/FirmaOutlook.jpg]<http://www.unicatt.it/> [http://static.unicatt.it/ext-portale/5xmille-firma-mail-scritta.jpg]

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[Corpora-List]2nd Call for Abstracts - International Semantic Conference 2022 (InSemantiC2022)
by InSemantiC 15 Jun '22

15 Jun '22

Call for abstracts International Semantics Conference (InSemantiC 2022) In honorem Professor Fátima Oliveira Porto, Faculty of Arts and Humanities of the University of Porto 21-23 November 2022 The Organizing Committee is pleased to announce the International Semantics Conference -InSemantiC 2022 to be held in Porto, Faculty of Arts and Humanities of the University of Porto, on 21-23 November 2022. Currently, we are planning a live conference, but all measures will be taken to change to hybrid mode if circumstances require it. Conference aims and topics The main purpose of this conference is to gather current research advances in formal and experimental semantics and in the interface with other areas, such as syntax, phonology, morphology, pragmatics, discourse analysis, text linguistics, language acquisition, educational linguistics and computational linguistics. Program The Scientific Program will include invited talks and oral presentations. Invited Speakers Brenda Laca, Universidad de la República, Uruguay Hana Filip, Heinrich-Heine University Düsseldorf Languages English (preferentially) and Portuguese Submissions and dates Authors are invited to submit an abstract up to 10000 characters with spaces including references. Submissions must be anonymous and should be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=insemantic2022 At least one author of each accepted abstract is required to register for the conference, and present the work at the conference. Important dates: Time Zone: Anywhere on Earth Abstracts due: July, 20, 2022 Abstract acceptance notifications: September, 20, 2022 Full papers due: February, 28, 2023 Full papers notifications: May, 15, 2023 Registration 20 September to 31 October: - Teachers and researchers – 70 euros - Students – 40 euros After 31 October: - Teachers and researchers – 90 euros - Students – 50 euros Publication Accepted papers are expected to be published in a volume by an international publisher. Program committee Amália Mendes (University of Lisbon, Portugal) Ana Luísa Costa (Polytechnic Institute of Setúbal, Portugal) Ana Madeira (NOVA University of Lisbon, Portugal) Ana Maria Brito (University of Porto, Portugal) Ana Maria Martins (University of Lisbon, Portugal) Anabela Gonçalves (University of Lisbon, Portugal) Angeles Carrasco Gutiérrez (University of Castilla-La Mancha, Spain) Angeliek van Hout (University of Groningen, Netherlands) Anne Theissen (University of Strasbourg, France) Augusto Soares da Silva (Catholic University of Portugal – Braga, Portugal) Bert le Bruyn (Utrecht University, Netherlands) Brenda Laca (University of the Republic, Uruguay) Clara Nunes Correia (NOVA University of Lisbon, Portugal) Cristina Schmitt (Michigan State University, USA) Georges Kleiber (University of Strasbourg, France) Graça Rio-Torto (University of Coimbra, Portugal) Hana Filip (University of Düsseldorf, Germany) Idalina Ferreira (University of Porto, Portugal) Ignacio Bosque (Complutense University of Madrid, Spain) Inês Duarte (University of Lisbon, Portugal) Isabel Margarida Duarte (University of Porto, Portugal) João Veloso (University of Porto, Portugal) Johan Van der Auwera (University of Antwerp, Belgium) Lucía Quintana Hernández (University of Huelva, Spain) Luís Filipe Cunha (University of Porto, Portugal) Manuel Leonetti (Complutense University of Madrid) Maria Antónia Coutinho (NOVA University of Lisbon, Portugal) Maria da Graça Pinto (University of Porto, Portugal) Oliver Bott (Bielefeld University, Germany) Pablo Gamallo (University of Santiago de Compostela, Spain) Rafael Marin (University of Lille, France) Renato Basso (Federal University of São Carlos, Brazil) Rodolfo Ilari (University of Campinas, Brazil) Rui Marques (University of Lisbon, Portugal) Telmo Móia (University of Lisbon, Portugal) Organizing committee Fátima Silva Purificação Silvano António Leal Inês Cantante Rute Rebouças Faculty of Arts and Humanities of the University of Porto, CLUP, Porto, Portugal Contact: insemantic2022(a)gmail.com Website: https://insemantic2022.weebly.com/

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[Corpora-List]1st CfP: 3rd Workshop on Processing Figurative Language (FigLang '22)
by Beigman Klebanov, Beata 14 Jun '22

14 Jun '22

The main focus is on computational modeling of figurative language using state-of-the-art NLP techniques. However, papers on cognitive, linguistic, social, rhetorical, and applied aspects are also of interest, provided that they are presented within a computational, formal, or a quantitative framework. In addition, we will hold two shared tasks: grounded understanding of figurative language and euphemism detection. The workshop is co-located with EMNLP 2022. Paper submission deadline: September 7, 2022. For more information about topics, dates, and types of papers, please visit https://sites.google.com/view/figlang2022. ________________________________ This e-mail and any files transmitted with it may contain privileged or confidential information. It is solely for use by the individual for whom it is intended, even if addressed incorrectly. If you received this e-mail in error, please notify the sender; do not disclose, copy, distribute, or take any action in reliance on the contents of this information; and delete it from your system. Any other use of this e-mail is prohibited. Thank you for your compliance. ________________________________

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Call for Papers - Fifth Workshop on Technologies for MT of Low-Resource Languages (LoResMT 2022)
by Atul K. Ojha 14 Jun '22

14 Jun '22

Dear all, Apologies for cross-posting. You are requested to please circulate it for wider publicity. ................................................................................................................................. ===== The 5th Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2022) https://sites.google.com/view/loresmt @ COLING 2022 Gyeongju, Republic of Korea, October 12-17, 2022 SUBMISSION https://www.softconf.com/coling2022/LoResMT_2022/ TIMELINE Papers Due: July 18, 2022 (Monday) Notification of Acceptance: August 22, 2022 (Monday) Camera-ready papers due: September 5, 2022 (Monday) Conference date: October 12-17, 2022 SCOPE Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), and AMTA 2021, we introduce the Fifth LoResMT workshop at COLING 2022. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers of these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. TOPICS We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - COVID-related corpora, their translations and corresponding NLP/MT systems - Neural machine translation for low-resource languages - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - Review of available parallel corpora for low-resource languages - Research and review papers of MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation SUBMISSION INFORMATION We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official COLING 2022 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the COLING 2022 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the official conference management system ( https://www.softconf.com/coling2022/LoResMT_2022/). Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration is handled by the main conference ( https://coling2022.org/coling). ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP Chao-Hong Liu, Potamu Research Ltd Ekaterina Vylomova, University of Melbourne, Australia Jade Abbott, Retro Rabbit Jonathan Washington, Swarthmore College Nathaniel Oco, National University (Philippines) Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University Varvara Logacheva, Skolkovo Institute of Science and Technology Xiaobing Zhao, Minzu University of China PROGRAM COMMITTEE (LISTED ALPHABETICALLY) Alberto Poncelas, Rakuten, Singapore Alina Karakanta, Fondazione Bruno Kessler Amirhossein Tebbifakhr, Fondazione Bruno Kessler Anna Currey, Amazon Web Services Aswarth Abhilash Dara, Amazon Arturo Oncevay, University of Edinburgh Atul Kr. Ojha, DSI, National University of Ireland Galway & Panlingua Language Processing LLP Bharathi Raja Chakravarthi, DSI, National University of Ireland Galway Beatrice Savold, University of Trento Bogdan Babych, Heidelberg University Chao-Hong Liu, Potamu Research Ltd Duygu Ataman, University of Zurich Ekaterina Vylomova, University of Melbourne, Australia Eleni Metheniti, CLLE-CNRS and IRIT-CNRS Francis Tyers, Indiana University Kalika Bali, MSRI Bangalore, India Koel Dutta Chowdhury, Saarland University (Germany) Jade Abbott, Retro Rabbit Jasper Kyle Catapang, University of the Philippines John P. McCrae, DSI, National University of Ireland Galway Liangyou Li, Noah’s Ark Lab, Huawei Technologies Maria Art Antonette Clariño, University of the Philippines Los Baños Mathias Müller, University of Zurich Nathaniel Oco, National University (Philippines) Rico Sennrich, University of Zurich Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sina Ahmadi, DSI, National University of Ireland Galway Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University CONTACT Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions. Thanks, Atul

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[Corpora-List]Call for Papers: The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022)
by jackh＠allenai.org 13 Jun '22

13 Jun '22

The 2022 SIGNLL Conference on Computational Natural Language Learning (CoNLL 2022, Co-located with EMNLP 2022) Website: https://conll.org/ SIGNLL invites submissions to the 26th Conference on Computational Natural Language Learning (CoNLL 2022). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics, rather than on work driven by particular engineering applications. Such approaches include: - Computational learning theory and other techniques for theoretical analysis of machine learning models for NLP - Models of first, second and bilingual language acquisition by humans - Models of language evolution and change - Computational simulation and analysis of findings from psycholinguistic and neurolinguistic experiments - Analysis and interpretation of NLP models, using methods inspired by cognitive science or linguistics or other methods - Data resources, techniques and tools for scientifically-oriented research in computational linguistics - Connections between computational models and formal languages or linguistic theories - Linguistic typology, translation, and other multilingual work - Theoretically, cognitively and scientifically motivated approaches to text generation We welcome work targeting any aspect of language, including: - Speech and phonology - Syntax and morphology - Lexical, compositional and discourse semantics - Dialogue and interactive language use - Sociolinguistics - Multimodal and grounded language learning We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submitted papers must be anonymous and use the EMNLP 2022 template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed, according to the EMNLP 2022 guidelines. Please refer to the EMNLP 2022 Call for Papers for more details on the submission format. Submission is electronic, using the Softconf START conference management system. CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2022 Call for Papers. Briefly, non-anonymized manuscripts submitted to CoNLL cannot be posted to preprint websites such as arXiv or advertised on social media after May 30th, 2022. Multiple submission policy CoNLL 2022 will not accept papers that are currently under submission, or that will be submitted to other meetings or publications, including EMNLP. Papers submitted elsewhere as well as papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere will be rejected. Authors submitting more than one paper to CoNLL 2022 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. CoNLL 2022 has the same policy as EMNLP 2022 regarding ARR submissions. This means that CoNLL 2022 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR commitment deadline. We follow the EMNLP policy for papers that were previously submitted to ARR, or significantly overlap (>25%) with such submissions. Important Dates Anonymity period begins: May 30th, 2022 Submission deadline for START direct submissions: Thursday June 30th, 2022 Commitment deadline for ARR papers: August 1st, 2022 Notification of acceptance: Mid-September, 2022 Camera ready papers due: October 15th, 2022 Conference: December 7th, 8th, 2022 All deadlines are at 11:59pm UTC-12h ("anywhere on earth").

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[Corpora-List]Job Opening: Postdoctoral researcher (m/f/d) in Natural Language Processing, TrustHLT research group, TU Darmstadt, Germany
by ivan.habernal＠tu-darmstadt.de 13 Jun '22

13 Jun '22

The independent research group Trustworthy Human Language Technologies (TrustHLT) at the Department of Computer Science of the Technical University of Darmstadt, Germany has a job opening for a Postdoctoral researcher (m/f/d) in the recently acquired project “PrivaLingo: Truly Privacy-Preserving Machine Translation” by Dr. Ivan Habernal. This position will focus on a broad range of research questions related to privacy-preserving NLP models with a special focus on neural machine translation. A solid background in machine learning for natural language processing is essential, prior experience with differential privacy in model training is a plus. Wages and salaries are based on the collective agreement applicable to the TU Darmstadt (TV-TU Darmstadt). The starting date is as soon as possible, the position is funded until April 2024. Candidates The ideal candidate hold a PhD degree in computer science, computational linguistics, machine learning, or a related discipline, has a strong interest in privacy in natural language processing, excellent analytical and programming skills, is a team player, and is fluent in English. Diversity TU Darmstadt is strongly committed to diversity and particularly welcomes applications from members of underrepresented groups. Applications from female candidates are highly encouraged. Team TrustHLT is an independent research group led by Dr. Ivan Habernal, appointed at the Department of Computer Science of the Technical University of Darmstadt. The group conducts research in the field of natural language processing with a focus on privacy-preserving technologies and legal argumentation, see www.trusthlt.org for more details. The Department of Computer Science at TU Darmstadt regularly ranks among the top in Germany. Application Please send your detailed CV including a publication list, names of two referees, and a letter of motivation outlining your research interests to ivan.habernal(a)tu-darmstadt.de, subject: “Postdoc application PrivaLingo”. Send all documents as a single PDF (“PDF Arranger” is a helpful tool, for instance). Please do not hesitate to contact Dr. Habernal should you have any further questions. Deadline for applications is June 30, 2022. Applications arriving after the deadline will still be considered if the position is not filled yet.

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[Corpora-List]Corpora List has moved
by Knut Hofland 13 Jun '22

13 Jun '22

The Corpora List has moved and will now be served at ELRA. The new list address is: corpora(a)list.elra.info The information page can be accessed at: https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ All prior members are already subscribed and they can manage their settings by creating an account via this URL: https://list.elra.info/mailman3/accounts/signup/ Knut Hofland Former Listadm Corpora List (in Bergen)

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