- Corpora - ELRA lists

2nd Workshop on Perspectivist Approaches to Disagreement in NLP: First Call for Papers
by simona.frenda＠gmail.com 31 Mar '23

31 Mar '23

***NLPerspectives*** 2nd Workshop on Perspectivist Approaches to Disagreement in NLP (and Beyond) https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approach… Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices. Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation. In line with the first edition, the NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., in the context of fairness and inclusion. A key outcome of this second edition will be to build on the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling. Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers. The NLPerspectives workshop will be hosted in person during the 26th edition of ECAI 2023 in Kraków, Poland, on 30 September or 1 October 2023. -->Submissions The contributions cannot exceed 7 pages (4 for research communications, see below) not including references, and as established by ECAI 2023 conference, the over length submissions will be rejected without review. The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of ECAI 2023 conference: https://ecai2023.eu/ECAI2023 We accept three types of submissions: - Regular research papers; - Non-archival submissions: like research papers, but will not be included in the proceedings; - Research communications: 4-page abstracts summarising relevant research published elsewhere. -->Topics We invite original research papers from a wide range of topics, including but not limited to: - Non-aggregated data collection and annotation frameworks - Descriptions of corpora collected under the perspectivist paradigm - Multi-perspective Modelling and Machine Learning - Evaluation of multi-perspective models/ models of disagreement - Multi-perspective disagreement as applied to NLP evaluation - Fairness and inclusive modelling - Perspectivist approaches for social good - Applications of multi-perspective modelling - Computing with (dis)agreement - Perspectivist Natural Language Generation - Foundational aspects of perspectivism - Opinion pieces and reviews on perspectivist approaches to NLP Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. More information about the submission, publication of proceedings and date of the workshop will be provided soon. We are seeking sponsors in order to provide financial support for conference registration, travel, and accommodation for participants. -->Attendance At least one author of each accepted paper is required to participate in the conference and present the work. -->Important Dates * Friday June 23, 2023: Paper submission * Friday August 4, 2023: Notification of acceptance * Friday September 1, 2023: Camera-ready papers due * Saturday September 30 or Sunday October 1, 2023: Workshop -->Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, University of Colorado, Boulder Simona Frenda, University of Turin Lucy Havens, University of Edinburgh Elisa Leonardelli, Fondazione Bruno Kessler Sara Tonelli, Fondazione Bruno Kessler Contact us at g.abercrombie(a)hw.ac.uk if you have any questions. Website: https://nlperspectives.di.unito.it/

1 0

Journal of Open Humanities Data: call for papers
by Barbara McGillivray 31 Mar '23

31 Mar '23

(Apologies for cross-postings) Call for Papers for 2023 The Journal of Open Humanities Data (JOHD)<https://openhumanitiesdata.metajnl.com/> features peer-reviewed publications describing humanities research objects with high potential for reuse. These might include curated resources like (annotated) linguistic corpora, ontologies, and lexicons, as well as databases, maps, atlases, linked data objects, and other data sets created with qualitative, quantitative, or computational methods. We are currently inviting submissions of two varieties: 1. Short data papers contain a concise description of a humanities research object with high reuse potential. These are short (1000 words) highly structured narratives. A data paper does not replace a traditional research article, but rather complements it. 2. Full length research papers discuss and illustrate methods, challenges, and limitations in humanities research data creation, collection, management, access, processing, or analysis. These are intended to be longer narratives (3,000 - 5,000 words), which give authors the ability to contribute to a broader discussion regarding the creation of research objects or methods. Humanities subjects of interest to the JOHD include, but are not limited to Art History, Classics, History, Linguistics, Literature, Modern Languages, Music and musicology, Philosophy, Religious Studies, etc. Research that crosses one or more of these traditional disciplinary boundaries is highly encouraged. Authors are encouraged to publish their data in recommended repositories<https://openhumanitiesdata.metajnl.com/about/#repo>. More information about the submission process<https://openhumanitiesdata.metajnl.com/about/submissions>, editorial policies<https://openhumanitiesdata.metajnl.com/about/editorialpolicies/> and archiving<https://openhumanitiesdata.metajnl.com/about/> is available on the journal’s web pages. JOHD provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. We accept online submissions via our journal website. See Author Guidelines <https://openhumanitiesdata.metajnl.com/about/submissions/> for further information. Alternatively, please contact the editor<https://openhumanitiesdata.metajnl.com/contact/> if you are unsure as to whether your research is suitable for submission to the journal. Authors remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the Creative Commons<http://creativecommons.org/licenses/by/4.0/> licence agreement. Barbara McGillivray | @BarbaraMcGilli<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.c…> Lecturer in Digital Humanities and Cultural Computation Group lead of the Computational Humanities Research Group<https://www.kcl.ac.uk/research/computational-humanities-research-group> Strand Campus, Strand, London, WC2R 2LS, Room 3.28, Department of Digital Humanities, King’s College London Group lead of the Computational Humanities Research Group at King’s College London<https://www.kcl.ac.uk/research/computational-humanities-research-group> Turing Fellow<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turin…>, The Alan Turing Institute Editor-in-chief of Journal of Open Humanities Data<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenhuman…>

1 0

[SEBD 2023] Extension Deadlines - Regular, Discussion, and Doctoral Consortium Papers
by Stefano Marchesin 31 Mar '23

31 Mar '23

[APOLOGIES FOR MULTIPLE POSTINGS] ================================================================== CALL FOR PAPERS - SEBD 2023 31st Italian Symposium on Advanced Database Systems (SEBD 2023) Galzignano Terme, Padova, Italy - 2-5 July 2023 Venue: Galzignano Resort Terme & Golf, Galzignano Terme, Padova, Italy Website: http://sebd2023.dei.unipd.it/ ================================================================== The SEBD Symposium is the major annual event of the Italian database research community. It is designed as a gathering forum to meet, discuss, and exchange experiences among all people from the academy and industry who are interested in database systems and all their broad range of applications. IMPORTANT DATES - EXTENDED DEADLINES --------------- Regular and Discussion Paper Submission Deadline: April 14, 2023 Notifications: May 10, 2023 - Doctoral Consortium Submission Deadline: April 14, 2023 Papers Notification: May 10, 2023 - Early Registration Deadline: May 26, 2023 Camera-Ready Submission Deadline: Thursday, June 08, 2023 (AoE) All deadlines are Anywhere on Earth (AoE) standard time. TOPICS ------ The conference covers a broad range of topics, including traditional database management and new challenges for data management in any possible domain. Suggested topics include (but are not limited to) the following: - Big Data and Smart Computing; - Data integration, Heterogeneous and Federated Databases; - Data mining, knowledge discovery, information extraction, and machine learning; - Data provenance, publishing, and citation; - Data visualization; - Data warehousing; - Distributed and parallel databases; - Grid, peer-to-peer databases and Cloud Computing; - Incompleteness, inconsistency, and uncertainty in databases; - Keyword-based and natural language access to structured data; - Knowledge representation and reasoning; - Ontology-based data management; - Privacy, security, and trust management; - Query processing and optimization, approximate query answering; - Real-time, embedded, sensor, and mobile databases; - Scientific and Statistical Databases; - Semantic Web and Open Linked Data; - Social networks and Graph databases; - Transaction and workflow management, interoperability, and Web services; - Big Data and AI. SUBMISSIONS INSTRUCTIONS ------------------------ SEBD 2023 invites research, industry, application contributions, and software demonstrations submissions. Regular papers presenting original work are solicited. Moreover, discussion papers containing descriptions of results already published are also welcomed. There are three submission formats: - Regular papers (up to 12 pages + references). Original research works. Regular papers must be original and not simultaneously submitted to another journal or conference. - Discussion papers (up to 8 pages + references). Results and ideas of interest to the SEBD audience, including extended abstracts of recent publications of the authors, papers currently under submission, position papers, system and application descriptions and presentations of preliminary results. - Doctoral Consortium papers (up to 6-7 pages, including selected references). The papers should be singly authored by a current Ph.D. student or a Ph.D. student who submitted the thesis between September and December 2022; if accepted, it will be presented at the Doctoral Consortium session. Selection will be based on originality, clarity, and technical quality. To accommodate a potentially large number of papers, this year, we introduce poster sessions as an alternative to present the accepted regular and discussion papers. The authors of an accepted paper will be asked if they prefer a classic oral or poster presentation. Nevertheless, the program committee will suggest the best way to present a paper based on the contribution type and the number of accepted papers from the same institution/research group. The program chairs will make the final decision on the presentation format. Please note that oral or poster presentations have the same "importance" within the conference. Also, there will be no difference between a paper presented orally or as a poster in the proceedings. A booster session will introduce all poster presentations where the authors can pitch the contribution with a 1-2 minute presentation. Submissions of papers must be in English, in PDF format, and formatted following the new CEUR-ART 1-column style, which is the style requested for the camera-ready preparation. Please download the template here: http://sebd2023.dei.unipd.it/file/CEURART_SEBD2023 Submission system: https://cmt3.research.microsoft.com/SEBD2023/ All accepted works will be included in the proceedings, with Discussion Papers clearly marked as such. Proceedings will be published on WS-CEUR.org and indexed in Scopus. After acceptance, authors are required to re-submit the final PDF. No different format is allowed. All accepted papers are expected to be presented at the conference,and at least one author is required to register for the conference. DOCTORAL CONSORTIUM ----------- The SEBD 2023 Doctoral Consortium will take place in a dedicated session during the 31st Italian Symposium on Advanced Database Systems (SEBD 2023), Galzignano Terme, Padova (Italy), July 02-05, 2023, http://sebd2023.dei.unipd.it/. The goal is to provide a forum for Ph.D. candidates to present their ongoing research and receive feedback from renowned and experienced research community members. The Consortium fosters a collaborative environment, encouraging constructive discussions and sharing of ideas. It will be an excellent opportunity for developing person-to-person networks to the benefit of the Ph.D. students in their future careers – as well as of the community. Doctoral Consortium Day: Sunday, July 02, 2023 A separate call for papers will be issued for the doctoral consortium. ORGANIZATION COMMITTEES ----------------------- General Chairs: - Diego Calvanese (Free University of Bozen-Bolzano) - Nicola Ferro (University of Padua) Program Committee Chairs: - Claudia Diamantini (Università Politecnica delle Marche) - Gianmaria Silvello (University of Padua) Doctoral Consortium Chairs - Stefano Marchesin (University of Padua) - Letizia Tanca (Politecnico di Milano) LOCATION -------- The SEBD 2023 conference will be in Galzignano Terme, Padova, Italy, at The Galzignano Resort Terme & Golf. The resort is located in the very heart of this stunning area, a unique complex with three 4-star hotels and one of the largest Spa centers in Europe, with natural waters at 37°C, a new Galzignano Wellness Spa, Beauty & Medical Center, a 9-hole golf course, haute cuisine and all amenities for an unbelievable stay. Its location makes the resort an ideal base for visiting the cultural treasures of some of Italy’s finest historical cities, such as Venice, Padua, and Verona, and appreciating the Veneto area's fine food and wine trails. Get to Padua: https://www.unipd.it/en/university-0/getting-here -- Stefano Marchesin, PhD Postdoctoral Researcher Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

1 0

Postdoc position at Cardiff University
by Steven Schockaert 31 Mar '23

31 Mar '23

Location: Cardiff, UK Deadline for applications: 19th April 2023 Start date: as soon as possible Duration: 30 months Keywords: natural language processing, neurosymbolic AI, graph neural networks, commonsense reasoning Details about the post Applications are invited for a Research Associate post in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing common sense reasoning strategies, based on graph neural networks, to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available here: https://www.jobs.ac.uk/job/CYR611/research-associate Background about the ReStoRe project When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works. The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective. To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned. The solution that is proposed in this fellowship is based on representations called story graphs. These story graphs encode the events that occur, the entities involved, and the relationships that hold between these entities and events. A story can then be viewed as an incomplete specification of a story graph, similar to how a symbolic knowledge base corresponds to an incomplete specification of a possible world. The proposed framework will allow us to reason about textual information in a principled way. It will lead to significant improvements in NLP tasks where a commonsense understanding is required of the situations that are described, or where information from multiple sentences or documents needs to be combined. It will furthermore enable a step change in applications that directly rely on structured text representations, such as situational understanding, information retrieval systems for the legal, medical and news domains, and tools for inferring business insights from news stories and social media feeds.

1 0

Funded PhD position on Deep Learning for Neuroimaging to Speech Decoding @ HiTZ center
by HiTZ zentroa 31 Mar '23

31 Mar '23

**** We apologize for the multiple copies of this email **** Funded PhD position on Deep Learning for Neuroimaging to Speech Decoding @ HiTZ center (Spain) INFORMATION ABOUT THE POSITION * Position: PhD student * Researcher Profile: o First Stage Researcher (R1- up to the point of PhD) The candidate should have a BSc degree related to computer science and a MSc. including deep learning or machine learning subjects. Outstanding curriculum vitae, good programming abilities, strong motivation, team working skills, and fluent spoken and written English will be highly appreciated. * Project: #neural2speech Deep Learning for neuroimaging to speech decoding * Location: Spain > Donostia or Bilbao (free choice) * Research Field: Multimodal Deep Learning * Type of contract/Duration of Contract: 3 years * Job Status: Full-time * Hours per week: 35 * Gross salary: 17,221€ (1st year), 17,823€ (2nd year), 19,765€ (3rd year) * Starting date: June 2023 (hard date) HiTZ zentroa - IXA Taldea is offering a 3-year funded PhD opportunity. The position is linked to the IKUR #neural2speech project: the PhD student will work on research projects with IXA Taldea (HiTZ center - University of the Basque Country) in collaboration with two research groups Aholab (HiTZ center - University of the Basque Country) and The Basque Center on Cognition Brain and Language (BCBL). * HiTZ - https://www.hitz.eus/ <https://www.hitz.eus/> o Ixa Taldea - http://ixa.ehu.eus/ <http://ixa.ehu.eus/> o Aholab - https://aholab.ehu.eus/aholab/ <https://aholab.ehu.eus/aholab/> * BCBL - https://www.bcbl.eu/en <https://www.bcbl.eu/en> Goal:Can speech be decoded from neural brain activity? Addressing this issue is critical for restoring communication among people that have lost their ability to speak due to some speech motor disorders (e.g., aphasia). The goal of #neural2speechis to build a multimodal contrastive model trained on both neuroimaging input (fMRI and MEG) and speech output. The multimodal contrastive model that we propose is based on the neural transformer architecture. Job description:The project will be highly collaborative across the three laboratories involved, including common activities and coordinated research agendas. The selected candidate will develop the core model of the project, the multimodal Transformer model, and disseminate the results in scientific conferences (presentations/posters) and peer-reviewed journals. She/he will take advantage of the computation facilities at HiTZ. The selected candidate will also have the opportunity to develop original experiments under the supervision and guidance of the PIs. PI and research group:candidate will form part of HiTZ research center led by Eneko Agirre (e.agirre(a)ehu.eus) and Ander Barrena (ander.barrena(a)ehu.eus), who will also be the main supervisors. Contact: ander.barrena(a)ehu.eus *HiTZ **Basque Center for Language Technology* is a reference center on Language Technologies. Its aim is to promote research, training, technological transfer and innovation in Artificial Intelligence focused on language and speech. We are a multidisciplinary team composed of people with backgrounds in computer science, linguistics and engineering. HiTZ is made up of the research groups Ixa and Aholab, both from the University of the Basque Country (UPV/EHU). These groups are —since their creation in 1988 and 1995 respectively— the main driving forces in the area of Language Technologies in the Basque Country. HiTZ is a leader in research in Spain, and holds a National Research Award in Computer Science and one of the 15 fellows that the main research association in the area (Association for Computational Linguistics) has in Europe, as well as the best PhD thesis award in Artificial Intelligence in Europe (EurAI 2020). HiTZ is also a member of Erasmus Mundus+ European Masters Program in Language and Communication Technologies (LCT) program <https://www.ehu.eus/en/web/master/master-language-communication-technologies>. The University of the Basque Country (UPV/EHU) (www.ehu.eus) is the leading teaching and research institution in the Basque Country, a prosperous region stretching along the Atlantic coast of northern Spain. The UPV/EHU is among the *best 400 universities in the world* according to the Shanghai ranking, and has been recognized as an International Excellence Campus by the Spanish Government. The University of the Basque Country, a vibrant 30-year-old institution with 45,000 students, 5,000 world-class academic staff and state-of-the-art facilities distributed throughout 20 centers in its three campuses. **

1 0

internet usage statistics: types of data types being transferred ...
by Albretch Mueller 31 Mar '23

31 Mar '23

I wonder if the same happens to you. Finding anything relating to corpora research on the Internet is virtually impossible to me. If you try to find an estimate of the data (mime) types being transferred over the Internet (text: html, pdf; video: mp4 ...) all you get is ads of companies trying to get your money, sell you "solutions" ... I think those kinds of statistics at least, approximate figures, should be somewhere. If not the data transfers per se, the links on pages. Do you have an idea about where to find such data? lbrtchx

3 3

Postdoc position in Generative AI & Large Language Models (Switzerland)
by André Freitas 31 Mar '23

31 Mar '23

The Neuro-symbolic AI Group at Idiap invites applications for a postdoctoral position in the area of Generative AI and Large Language Models (LLMs). This is an exciting opportunity to work at the interface between LLMs and causal learning. Working in close collaboration with the Machine Learning Group at Idiap and the Social Intelligence startup/scale-up Bloom, this position will focus on advancing the state-of-the-art on methods to improve the adaptability, generalisation and training efficiency of LLMs. These methods directly dialogue with the construction of models which have better controlled consistency properties, with a direct line-of-sight towards model safety and improved inference. Appointment for the position is for 24 months (with the perspective of renewal depending on funding availability). Starting date is as soon as possible. Formal applications are to be made at: https://careers.werecruit.io/en/idiap/offres/postdoc-position-in-generative… Sought profile Essential: * hold a Ph.D. degree in computer science or related areas (or close to completion) * have a background in natural language processing or machine learning, evidenced by high-quality publications * previous project experience in developing complex deep learning based models (e.g. in NLP or Computer Vision) * solid English communication (scientific writing and speaking) * confident in Python programming Optional: * Pytorch experience * previous work in generative models will be considered a plus. About Idiap Idiap is an independent, not-for-profit, research institute accredited and funded by the Swiss Federal Government, the State of Valais, and the City of Martigny. Idiap offers competitive salaries and working conditions at all levels in a dynamic, multicultural environment. Idiap is an equal opportunity employer. We specifically encourage women and minorities to apply. Idiap is located in the town of Martigny in Valais, Switzerland, offering exceptional quality of life, exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Lausanne and Geneva. Although Idiap is located in the French part of Switzerland, English is the official working language. For frequently asked questions (FAQs) about living in Switzerland, please go to https://www.idiap.ch/en/faq

1 0

Workshop: Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad 30 Mar '23

30 Mar '23

Second call for papers The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 Website of the workshop: https://contents2023.kulak.kuleuven.be/ In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: - Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; - Extraction and acquisition of semantic relations between terms; - Extraction and generation of domain specific definitions and disambiguation of terms; - Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; - Extraction of terminological context, through the use of comparable and parallel corpus; - Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; - The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); - The creation of domain ontologies, thesaurus, terminological resources in specialised domains; - The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; - Identification of key problems in terminology and new technologies used in translation studies; - Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; - Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; - Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; - Phraseology and multiword expressions in cross-linguistic studies; - Translation and interpreting tools, such as translation memories, machine translation and alignment tools; - User requirements for interpreting and translation tools. 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 RANLP 2023 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 as part of the programme of the workshop. Submissions Link to START syetem: https://softconf.com/ranlp23/ConTeNTS Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 10 July 2023 Acceptance notification: 5 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7-8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee - Sophia Ananiadou (University of Manchester) - Maria Andreeva Todorova (Bulgarian Academy of Sciences) - Silvia Bernardini (University of Bologna) - Melania Cabezas García (Universidad de Granada) - Rute Costa (Universidade Nova de Lisboa) - Patrick Drouin (Université de Montréal) - Pamela Faber (Universidad de Granada) - Mercedes García de Quesada (Universidad de Granada) - Dagmar Gromann (Centre for Translation Studies - University of Vienna) - Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) - Rejwanul Haque (National College of Ireland) - Amir Hazem (Nantes University) - Kyo Kageura (University of Tokyo) - Barbara Karsch (BIK Terminology - USA) - Dorothy Kenny (Dublin City University) - Hendrik Kockaert (KU Leuven) - Philipp Koehn (Johns Hopkins University) - Maria Kunilovskaya (Saarland University) - Marie-Claude L'Homme (Université de Montréal) - Hélène Ledouble (Université de Toulon) - Pilar León-Araúz (Universidad de Granada) - Rodolfo Maslias (former Head of TermCoord, European Parliament) - Silvia Montero Martínez (Universidad de Granada) - Emmanuel Morin (LS2N-TALN) - Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) - Sandrine Peraldi (University College Dublin) - Silvia Piccini (Italian National Research Council) - Thierry Poibeau (CNRS) - Senja Pollak (Jožef Stefan Institute) - Maria Pozzi Pardo (El Colegio de México) - Tharindu Ranasinghe (Aston University) - Arianne Reimerink (Universidad de Granada) - Andres Repar (Jožef Stefan Institute) - Christophe Roche (Université Savoie Mont-Blanc) - Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) - Beatriz Sánchez Cárdenas (Universidad de Granada) - Vilelmini Sosoni (Ionian University) - Irena Spasic (Cardiff University) - Elena Isabelle Tamba (Romanian Academy, Iași Branch) - Rita Temmerman (Vrije Universiteit Brussel) - Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

1 0

PhD or Postdoc in NLP & Cognitive Modeling
by Michael Hahn 30 Mar '23

30 Mar '23

Dear colleagues, we have an opening for a *fully funded **PhD student or postdoc* position in*NLP & Cognitive Modeling* at Saarland University, Germany. The position is affiliated with the Collaborative Research Center (CRC) 1102, a thriving research environment with 38 PhD students and 9 postdocs investigating language from a variety of computational and cognitive angles. The successful applicant will be supervised by Prof. Michael Hahn, and have the opportunity to collaborateclosely with other researchers at the CRC and at Saarland University. The successful applicant is expected to have a strong background in natural language processing using neural networks, and a strong interest in language or cognition. Some publications representing Prof. Hahn's research interests: M. Hahn, R. Futrell, R. Levy, E. Gibson. A resource-rational model of human processing of recursive linguistic structure <https://doi.org/10.1073/pnas.2122602119>. PNAS, 2022. M. Hahn, F. Keller. Modeling task effects in human reading with neural network-based attention <https://arxiv.org/abs/1808.00054>. Cognition, 2023. M. Hahn. Theoretical limitations of self-attention in neural sequence models. <https://doi.org/10.1162/tacl_a_00306> TACL, 2020. You can learn more about our research athttps://www.mhahn.info and https://sfb1102.uni-saarland.de/ . DETAILS The appointment is for 36 months (PhD student) or 24 months (postdoc). Pay grade is E13 TV-L, volume of employment:75% or 100%of standard working time. For full details, please refer to the job advertisement: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… QUALIFICATION The successful applicant is expected to have: •an excellent academic track record •a strong background in natural language processing using neural networks •excellent programming skills and quantitative skills •a strong interest in language or cognition •full professional proficiency in spoken and written English HOW TO APPLY Please send a PDF file with: (a) your CV (with a list of any publications), (b) contact information of two references, (c) a cover letter (1-2 pages) that describes your research interests, (d) copies of transcripts and academic degree certificates to mhahn(a)lst.uni-saarland.de by 14.04.2023. Please include the reference numberW2275in the subject line of the e-mail. If you have anyquestions, please contact Michael Hahnat mhahn(a)lst.uni-saarland.de

1 0

DMR 2023 - Call for papers EXTENDED TO APRIL 10, 2023
by kristine.stenzel＠colorado.edu 30 Mar '23

30 Mar '23

**apologies for cross-postings** Call for papers DMR 2023: The Fourth International Workshop on Designing Meaning Representation workshop site: dmr2023.github.io Co-located with IWCS 2023 the 15th International Conference on Computational Semantics, 20-23th June 2023, Université de Lorraine, Nancy, France. IWCS site: https://iwcs2023.loria.fr/ While deep learning methods have led to many breakthroughs in practical natural language applications, most notably in Machine Translation, Machine Reading, Question Answering, Recognizing Textual Entailment, and so on, there is still a sense among many NLP researchers that we have a long way to go before we can develop systems that can actually “understand” human language and explain the decisions they make. Indeed, “understanding” natural language entails many different human-like capabilities, and they include but are not limited to the ability to track entities in a text, understand the relations between these entities, track events and their participants described in a text, understand how events unfold in time, and distinguish events that have actually happened from events that are planned or intended, are uncertain, or did not happen at all. We believe a critical step in achieving natural language understanding is to design meaning representations for text that have the necessary meaning “ingredients” that help us achieve these capabilities. Such meaning representations can also potentially be used to evaluate the compositional generalization capacity of deep learning models. There has been a growing body of research devoted to the design, annotation, and parsing of meaning representations in recent years. The meaning representations that have been used for semantic parsing research are developed with different linguistic perspectives and practical goals in mind and have different formal properties. Formal meaning representation frameworks such as Minimal Recursion Semantics (MRS) and Discourse Representation Theory (as exemplified in the Parallel Meaning Bank) are developed with the goal of supporting logical inference in reasoning-based AI systems and are therefore easily translatable into first-order logic, requiring proper representation of semantic components such as quantification, negation, tense, and modality. Other meaning representation frameworks such as Abstract Meaning Representation (AMR), Tecto-grammatical Representation (TR) in Prague Dependency Treebanks and the Universal Conceptual Cognitive Annotation (UCCA), put more emphasis on the representation of core predicate-argument structure, lexical semantic information such as semantic roles and word senses, or named entities and relations. There is also a more recent effort in developing a Uniform Meaning Representation (UMR) that is based on AMR but extends it to cross-linguistic settings and enhances it to represent document-level semantic content. The automatic parsing of natural language text into these meaning representations and the generation of natural language text from these meaning representations are also very active areas of research, and a wide range of technical approaches and learning methods have been applied to these problems. This workshop will bring together researchers who are producers and consumers of meaning representations, and through their interaction develop a deeper understanding of the key elements of meaning representations that are the most valuable to the NLP community. The workshop will also provide an opportunity for meaning representation researchers to critically examine existing frameworks with the goal of using their findings to inform the design of next-generation meaning representations. A third goal of the workshop is to explore opportunities and identify challenges in the design and use of meaning representations in multilingual settings. A final goal of the workshop is to understand the relationship between distributed meaning representations trained on large data sets using network models, and the symbolic meaning representations that are carefully designed and annotated by NLP researchers and gain a deeper understanding of areas where each type of meaning representation is the most effective. The workshop solicits papers that address one or more of the following topics: • Design and annotation of meaning representations; • Cross-framework comparison of meaning representations; • Challenges and techniques in automatic parsing of meaning representations; • Challenges and techniques in automatically generating text from meaning representations; • Meaning representation evaluation metrics; • Lexical resources, ontologies, and grounding in relation to meaning representations; • Real-world applications of meaning representations; • Issues in applying meaning representations to multilingual settings and lower-resourced languages; • The relationship between symbolic meaning representations and distributed semantic representations; • Formal properties of meaning representations; • Any other topics that address the design, processing, and use of meaning representations. === SUBMISSION INFORMATION === Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings on the ACL Anthology. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Submission is electronic, using the Softconf START conference management system. Link to the DMR submission site: https://softconf.com/iwcs2023/dmr2023/ Submissions must adhere to the two-column format of ACL venues. Please use our specific style-files or the Overleaf template taken from ACL 2021: https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-proceed… Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. If a paper is accepted, it will be given an additional page to address reviewers’ comments in the final version. References and appendices do not count against these limits. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal any author’s identity–e.g., “We previously showed (Smith, 1991) …” should be replaced with citations such as “Smith (1991) previously showed …”. Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop organizers dmr2023-chairs(a)googlegroups.com. Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. ** DMR 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. === IMPORTANT DATES === Submissions due April 3, 2023 - EXTENDED TO APRIL 10, 2023 Notification of acceptance May 1, 2023 Camera-ready deadline June 1, 2023 Workshop date June 20, 2023 IWCS conference June 20-23, 2023

1 0

2025

2024

2023

2022

Corpora