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Natural Legal Language Processing (NLLP) Workshop @ EMNLP 2022 - Call for Papers
by danielpr＠gmail.com 08 Aug '22

08 Aug '22

Workshop on Natural Legal Language Processing (NLLP) 2022 8 December 2022 Abu Dhabi, UAE & Online Collocated with EMNLP 2022 Website: http://nllpw.org/workshop - Twitter: @nllpworkshop - Contact: nllp.chairs(a)gmail.com Sponsors: Bloomberg and LBox Following the success of the first three editions of the NLLP workshop (NAACL 2019, KDD 2020, EMNLP 2021), we aim to bring researchers and practitioners from NLP, machine learning and other artificial intelligence disciplines together with legal practitioners and researchers. = Topics = We welcome all submissions describing original work with one or more of the following contribution types: Applications of NLP to legal tasks including, but not limited to: - Legal Citation Resolution - Case Outcome Analysis and Prediction - Models of Legal Reasoning - E-Discovery - Lexical and other Data Resources for the Legal Domain - Bias and Privacy Experimental results using and adapting NLP methods for legal data including: - Classification - Information Retrieval - Anomaly Detection - Clustering - Knowledge Base Population - Multimedia Search - Link Analysis - Entity Recognition and Disambiguation - Training and Using Embeddings - Parsing - Dialogue and Discourse Analysis - Text Summarization and Generation - Relation and Event Extraction - Anaphora Resolution - Question Answering - Query Understanding - Combining Text with Structured data Tasks: - Description of new legal tasks for NLP - Structured overviews of a specific task with the goal of identifying new areas for research - Position papers presenting new visions, challenges and changes to existing research practices Resources: - Creation of curated and/or annotated data sets that can be publicly released and used by the community to advance the field Demos: - Descriptions of systems which use NLP technologies for legal text Industrial Research: - Industrial applications - Papers describing research on proprietary data Interdisciplinary Position Papers: - Legal and socio-legal analyses relating to the role NLP can play in the legal field - Critical reflections on the legality and ethics of data collection and processing practices = Submissions = We accept papers reporting original (unpublished) research of two types: - Long papers (max 8 pages + references) - Short papers (max 4 pages + references) To submit a paper, please access the submission link: https://softconf.com/emnlp2022/NLLP Conference proceedings will be published on the ACL Anthology (https://aclanthology.org/). = Non-archival option = The authors have the option of submitting previously unpublished research as non-archival, meaning that only the abstract will be published in the conference proceedings. We expect these submissions to describe the same quality of work as archival submissions. These will be reviewed following the same procedure as archival submissions. This option accommodates publication of the work or a superset at a later date in a conference or journal which does not allow previously archived work and to encourage presentation and feedback on mature, yet unpublished work. Non-archival submissions should adhere to the same formatting and length constraints as archival submissions. = Dual Submission and Pre-print Policy = Papers that have been or will be submitted to workshops, conferences or journals during the review period must indicate so at submission time. Authors of papers accepted for presentation at the NLLP workshop 2022 must notify the organizers by the camera-ready deadline as to whether the paper will be presented or withdrawn. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. Exception: Submissions with the non-archival option are excepted from these requirements. = ACL Rolling Review Submissions = Our workshop also welcomes submissions from ACL Rolling Review or ARR (https://aclrollingreview.org/). Authors of any papers that are submitted to ARR and have their meta review ready may submit their papers and reviews for consideration for the workshop until 15 October 2022. This should include submissions to ARR for the 1 September deadline. = Double-Blind reviewing = The review process is double-blind. Submitted papers must not include author names and affiliations and they must be written in a way so that they do not break the double-blind reviewing process. If the preliminary version of a paper was posted in arXiv, the authors should NOT mention it as their own paper in the submission. Papers that violate the double-blind review requirements will be desk rejected. = Submission Style & Format Guidelines = Paper submissions must use the official ACL style templates, which are available here (https://github.com/acl-org/acl-style-files) (Latex and Word). Please follow the paper formatting guidelines general to "*ACL" conferences available (https://acl-org.github.io/ACLPUB/formatting.html) Authors may not modify these style files or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All long, short and theme papers must follow the ACL Author Guidelines (https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines) = Important Dates = Submission deadline: 26 September 2022 Notification: 12 October 2022 ARR Commitment deadline: 15 October 2022 Camera ready: 26 October 2022 Workshop: 8 December 2020 All deadlines are 11.59 pm UTC -12h. = Presentation = Presentation format and schedule will be announced before the camera-ready deadline. At least one author of each accepted paper must register for the NLLP 2022 by the registration deadline in order for the submission to be published in the proceedings. = Organizing Committee = Nikolaos Aletras ― University of Sheffield Leslie Barrett ― Bloomberg Law Ilias Chalkidis ― University of Copenhagen Catalina Goanta ― Utrecht University Daniel Preotiuc-Pietro ― Bloomberg

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Job: Research Associate – Natural Language Processing @ UCREL, Lancaster
by Rayson, Paul 08 Aug '22

08 Aug '22

School of Computing and Communications Salary: £29,619 to £34,308 Closing Date: Friday 26 August 2022 Interview Date: To be confirmed Reference: 0809-22 https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0809-22 The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on two connected research projects on Natural Language Processing (NLP) for the Welsh language. FreeTxt/TestunRhydd (https://ucrel.lancs.ac.uk/freetxt/) is funded by the AHRC as a follow-on funding for impact and engagement project. Thesawrws (https://corcencc.org/thesawrws/) is funded by the Welsh Government and will use word embeddings and other NLP techniques to create an open-access, freely-available online thesaurus of contemporary Welsh. Working together with project partners at Cardiff University (led by Dr Dawn Knight as PI), and stakeholders in the FreeTxt/TestunRhydd project advisory group (National Trust Wales, Cadw, National Museum Wales), the RA will continue the co-design, development and implementation of a well documented and thoroughly tested Streamlit web-based software prototype for supporting bilingual free-text survey and questionnaire data analysis. While a range of sophisticated digital tools for the analysis of text-based data are already available, particularly for researchers working in academia, in marketing and public relations contexts etc., many of the digital resources used are not necessarily affordable, quick and easy to use, and/or accessible to non-expert users. Specifically, these tools currently do not fully support the task of systematically processing free-text responses in Welsh. The FreeTxt/TestunRhydd project aims to bridge this gap between quantitative and qualitative forms of survey data by building the novel FreeTxt toolkit which is designed to support the analysis and visualisation of multiple forms of open-ended, free-text data in both English and Welsh. In the Thesawrws project, the RA will work on developing an open-access, freely available online thesaurus of the Welsh language, for Welsh speakers and learners alike. The RA’s work will draw on pre-existing word embeddings to find related words, and the CorCenCC project Welsh semantic tagger and human evaluators to refine the similarities to enhance this resource. For the language user, this represents a valuable resource which goes beyond traditional thesauri and it will be available publicly as a fully bilingual, user-friendly website, released via the main CorCenCC project website (http://www.corcencc.org/). The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson and Dr Mo El-Haj in SCC. For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk<mailto:p.rayson@lancaster.ac.uk>) and Dr Mo El-Haj (m.el-haj(a)lancaster.ac.uk<mailto:m.el-haj@lancaster.ac.uk>). This is a full-time position expected to start in September 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position which for this position ends 10th March 2023. Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups. -- Paul Rayson Director of UCREL and Professor of Natural Language Processing Group Lead (SCC Data Science) School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/ Tel: +44 1524 510357 Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>

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Workshop Participation Opportunity/Call for Abstracts - Finance & NLP
by caitlin＠theiainsights.com 08 Aug '22

08 Aug '22

We are hosting a workshop at the Automated Knowledge Base Construction (AKBC) 2022 Conference. This is a non-archival event and we welcome work in progress/published works. Call for Abstracts We encourage submissions of abstracts relevant to knowledge graphs, NLP, and broader financial/economics research that could benefit from the use of KGs or NLP. These submissions may be previously published papers, new research, or works in progress. Accepted submissions may be asked to present their research at a presentation, lighting talk, or panel during the conference. For more information on the conference, please visit our website. Formatting guidelines Length between ½ - 1 page (not including references) PDF, Word, or Text file Include all authors Submit your abstract at https://finance-at-akbc.bubbleapps.io/submit Topics include but are not limited to Using KGs to represent relationships among companies and industries Automatic new industry and theme detection Identifying and representing supply chains Data sources and annotation for KGs in finance and economics Economic value of the data produced by KGs Knowledge graph entity hierarchy induction Combining numerical and semantic information in KGs Bootstrap KGs from public data sources other than Wikipedia Committee Members Dr. Ye Tian (University College London, Theia Insights) Ben Jones (Nasdaq) Dr. Gaurav Singh (Binance) Dr. Migael Strydom (Theia Insights) Dr. Pranava Madhyastha (City University of London) Ioannis Dourats (Meta) Dr. Lemin Wu (Theia Insights) Pietro Lesci (University of Cambridge) Nathan Burton (Theia Insights) Caitlin Walsh (Theia Insights) If you have any questions, please contact caitlin(a)theiainsights.com.

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HiT-IT’2023: First announcement
by Caro Quintana, Rocío I. 08 Aug '22

08 Aug '22

HiT-IT’2023 (HiT-IT conference: Human-informed Translation and Interpreting Technology) Naples, Italy, 6-8 July 2023 First announcement The conference We are pleased to announce the first Conference on Human-Informed Translation and Interpreting Technology. HiT-IT 2023 is a follow-up of the successful HiT-IT workshops, which took place in Varna, Bulgaria in parallel to the international conferences RANLP 2017 and RANLP 2019. The conference will take place on Naples, Italy, 6-8 July, 2023. HiT-IT seeks to act as a meeting point for (and invites) researchers working in translation and interpreting technologies, practicing technology-minded translators and interpreters, companies and freelancers providing services in translation and interpreting as well as companies developing tools for translators and interpreters. In addition to the accepted papers for presentation, HiT-IT will feature invited talks by prominent experts as well as presentations and panels hosted by practitioners. Human translation and interpreting as well as Machine Translation (MT) (including Automatic Speech Translation) aim to solve the same problem (i.e. facilitate communication between different languages) but in most cases obtain different results. While human translation so far is largely preferred by businesses and individuals in terms of quality, it requires high cognitive efforts and a lot of time. MT is much faster and can process large amounts of textual data in no time, but its results have obvious shortcomings for the average human. However, the quality of MT has been improving and MT now is part of the standard pipeline for many professional translators and CAT tools. Translation Technology (TT) has the objective of speeding up and easing the translation process, and more specifically, of assisting human translators. The emerging field of Interpreting Technology seeks to support the work of interpreters too. TT relies heavily on methods developed in the field of Natural Language Processing (NLP) (and Computational linguistics). Typical examples are Computer-Assisted Translation (CAT) tools, electronic dictionaries, concordancers, spell-checkers, terminological databases, terminology extraction tools, translation memories, partial machine translation of template documents, speech recognition systems for automatic subtitling, to name just a few. However, quite often these tools do not address the actual needs of translation and interpreting professionals. In turn, the NLP and MT make use of the knowledge and expertise of professional translators and interpreters in order to build and improve models for automatic translation – e.g. by using parallel aligned human translations and speech interpretation corpora for machine learning, human evaluation of machine translation outputs and human annotations. Most of the existing conferences are either focused too much on the automatic side of translation or concentrate largely on translators’ and interpreters’ professions. HiT-IT seeks to fill in this gap by allowing the discussion, the scientific comparison, and the mutual enrichment of professionals from both fields. HiT-IT 2023 addresses the development of translation tools and the experience translators and interpreters have with these tools as well as the development of machine translation engines, incorporating human (translators and interpreters’) expertise. The conference also offers a discussion forum and publishing opportunity for professionals from the human translation and interpreting fields (e.g. translators including subtitlers, interpreters, respeakers, researchers in translation and interpreting studies) and for researchers and developers working on translation and interpreting technology and machine translation. The idea behind this conference attendees to hear the other side’s position and to voice their opinions on how to make translation technologies closer to what would be accepted by large audiences, by incorporating human expertise into them. We expect contributions to the following topics: TOPICS We invite papers on the following four main themes, however submissions on related themes/topics will also be considered. Both theoretical ideas and practical applications are welcome. Position papers promoting new ideas, challenging the current status of the fields and proposing how to take them forward are also encouraged. User needs: * analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology * user requirements for interpreting and translation tools * incorporating human knowledge into translation and interpreting technology * what existing translators’ (including subtitlers’) and interpreters’ tools do not offer * user requirements for electronic resources for translators and interpreters * translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed Existing methods and resources * latest developments in translation and interpreting technology * electronic resources for translators and interpreters * annotation of corpora for translation and interpreting technology * crowdsourcing techniques for creating resources for translation and interpreting * latest advances in pre-editing and post-editing of machine translation * human-informed (semi-)automatic generation of interlingual subtitles * technology for subtitling Evaluation * (human) evaluation of translation and interpreting technology * crowdsourcing techniques for evaluating translation and interpreting * evaluation of discourse and other linguistic phenomena in (machine) translation and interpreting * evaluation of existing resources for translators and interpreters * human evaluation of neural machine translation Other * position papers discussing how machine translation should be improved to incorporate translators’/interpreters’ expertise * translation and interpreting technologies’ impact on the market * comparison between human and machine translation * changes in the translators and interpreters’ professions in the new technology era especially as a result of the latest developments in Neural Machine Translation Besides the above topics, submissions from industry and practitioners could discuss: distinctive work experience, ongoing practical work, in-house procedures or software, in-house processing pipelines, technology needs, managing a translation (technology) company, interpreters in the technology era, IP issues or any topic related to their professional activities in the field of (technology for) translation and interpreting, etc. SUBMISSIONS User papers – for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages (without references). Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): * (academic) full papers – describing original completed research. Allowed paper length: maximum 8 pages (without references). * (academic) work-in-progress papers – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 6 pages (without references). * (academic) demo papers – describing working systems. Allowed paper length: maximum 4 pages (without references). In addition to the papers, the authors will be expected to demonstrate the systems at the conference. Organisation HiT-IT is organised by the University of Wolverhampton, the University of Surrey (United Kingdom), the University of Malaga (Spain), and the University of Naples L ’Orientale (Italy), and the Association of Computational Linguistics (Bulgaria). Conference Chairs Gloria Corpas Pastor (University of Malaga), Ruslan Mitkov (University of Wolverhampton), Johanna Monti (University of Naples L’Orientale), Constantin Orasan (University of Surrey) Venue The conference will take place at the Palazzo del Mediterraneo, University of Naples, https://www.unior.it/ateneo/253/1/palazzo-del-mediterraneo.html Further information Further information and updates will be made available on the conference website http://hit-it-conference.org/. The Organising Committee can be reached by email on 2023(a)hit-it-conference.org<mailto:2023@hit-it-conference.org>.

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CfP: Third Conference on Computational Humanities Research Dec 12-14, 2022
by Melvin Wevers 08 Aug '22

08 Aug '22

In the arts and humanities, the use of computational, statistical, and mathematical approaches has considerably increased in recent years. This research is characterized by the use of formal methods and the construction of explicit, computational models. This includes quantitative, statistical approaches, but also more generally computational methods for processing and analyzing data, as well as theoretical reflections on these approaches. Despite the undeniable growth of this research area, many scholars still struggle to find suitable research-oriented venues to present and publish computational work that does not lose sight of traditional modes of inquiry in the arts and humanities. This is the scholarly niche that the CHR conference aims to fill. More precisely, the conference aims at 1. Building a community of scholars working on humanities research questions relying on a wide range of computational and quantitative approaches to humanities data in all its forms. We consider this community to be complementary to the digital humanities landscape. 2. Promoting good practices through sharing “research stories”. Such good practices may include, for instance, the publication of code and data in order to support transparency and replication of studies; pre-registering research design to present theoretical justification, hypotheses, and proposed statistical analysis; or a redesign of the reviewing process for interdisciplinary studies that rely on computational approaches to answer questions relevant to the humanities. Topics of interest We invite original research papers from a wide range of topics, including -- but not limited to -- the following: - Applications of statistical methods (machine learning) to process, enrich and analyse humanities and cultural heritage data; - Hypothesis-driven humanities research; - Development of empirical methods for humanities research; - Modeling bias, uncertainty, and conflicting interpretation in the humanities; - Evaluation methods and development of standards; - Statistical evaluation of categorization / periodization; - Explanatory models for humanities research; - Theories for quantitative methods and computational humanities approaches; - Translation and transfer of methods from other disciplines, approaches to bridge humanistic and statistical interpretations. To gain further insight into paper topics, please also refer to the proceedings of CHR2020<http://ceur-ws.org/Vol-2723/> and CHR2021<http://ceur-ws.org/Vol-2989/>. Venue The 2022 edition of the Computational Humanities Research conference will be hosted by the University of Antwerp, Belgium. The conference will be a hybrid event with an option to attend in person at the beautiful Monastery of the Grauwzusters<https://www.uantwerpen.be/en/about-uantwerp/campuses/catering-conventionhal…> in Antwerp, virtually, or a combination of the two. More details will follow soon. Important dates - Submission deadline: September 2, 2022 - Notification to authors: October 18, 2022 - Final papers ready: November 1, 2022 - Conference: December 12 - December 14, 2022 Submission types Long Papers: up to 5000 words (ca. 10 pages, references, abstract and tables/illustrations excluded). Long papers report on completed, original and unpublished results. Brevity of argument is preferred. We welcome the use of appendices or other supplementary information. Short Papers: up to 3000 words (ca. 6 pages references, abstract and tables/illustrations excluded). Short papers report on focussed contributions, and may present work in progress. Posters: For poster presentations we ask you to submit an abstract describing your work in about 750 words (references excluded). Posters are well suited to present new or early stage research, for a corpus or database description, or for detailed technical explanations and clarifications. Perhaps needless to say given the R in CHR, but posters must also describe actual research. Posters will not be published in the proceedings, but they will be added to the website of CHR. Overleaf has a word count functionality, or you can use the TexCount<https://app.uio.no/ifi/texcount/> application. Submission instructions and review process Submissions should be written in English and must be formatted according to the CHR latex template<https://github.com/cohure/CHR2022-website/raw/main/data/chr2022_latex_templ…> (see instructions on the forum to get you started here<https://discourse.computational-humanities-research.org/t/chr-latex-instruc…>.) Submissions are to be submitted anonymously. All submissions will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the Programme Chairs. Papers and posters should be submitted as PDF documents via the Easychair<https://easychair.org/conferences/?conf=chr2022> conference management system. At least one author of each accepted submission must register to the conference and present the paper or poster. Accepted papers will be submitted for publication online via the CEUR-WS<http://ceur-ws.org/> Proceedings publication service. Instructions for paper anonymisation Any information which might help identify authors should be anonymized. To this end, please: 1. do not include authors' names and affiliations; 2. use placeholders for code and data repositories, e.g. https://anonymous.4open.science/, https://zenodo.org/record/xxxxx; 3. do not mention self-references in a way that can reveal the author's identity, e.g. do not use "We previously demonstrated (Smith, 2002)" but "Smith (2022) previously demonstrated"; 4. leave acknowledgements blank. Anonymity period The anonymity period runs until the notification of acceptance (October 18, 2022). Preprints can be published after this date. Questions? Contact the organizers: info(a)computational-humanities-research.org<mailto:info@computational-humanities-research.org> or drop us a line on the discourse forum<https://discourse.computational-humanities-research.org>.

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Call for Shared Task Participation - HASOC-2022
by Dola Mullage, Damith P. 08 Aug '22

08 Aug '22

14th meeting of Forum for Information Retrieval Evaluation HASOC-2022 Shared task on HATE AND OFFENSIVE CONTENT IDENTIFICATION FIRE-22 9th to 13th Dec 2022 in a Hybrid mode at Kolkata, India Call for Shared Task Participation https://hasocfire.github.io<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> Task description: This task aims to study the various forms of problematic content, such as aggressiveness, hate, offensive, and abusive content in conversational dialogue (with context) on online platforms, such as Twitter. Systems should use the context of a conversation in order to identify problematic content. Task 1: ICHCL contextual binary classification (Hinglish and German) This task focused on the binary classification (Subtask-1) of such conversational tweets with tree-structured data into: (NOT) Non-Hate-Offensive - This tweet, comment, or reply does not contain any Hate speech, or profane, offensive content. (HOF) Hate and Offensive - This tweet, comment, or reply contains Hate, offensive, and profane content in itself or supports hate expressed in the parent tweet. The data set will be offered in Code Mixed Hindi English as well as in German. Task 2: ICHCL contextual multiclass classification Furthermore, for Hinglish (Code Mixed Hindi English), we're introducing a multiclass task that further divides the HOF tweets into 2 subclasses so this task will contain 3 labels: (SHOF) Standalone Hate - This tweet, comment, or reply contains Hate, offensive, and profane content in itself. (CHOF) Contextual Hate - Comment or reply is supporting the hate, offence and profanity expressed by its parent. This includes affirming the hate with positive sentiment and having apparent hate. (NOT) Non-Hate-Offensive - This tweet, comment, or reply does not contain any Hate speech, or profane, offensive content. For more information on task-1 and 2 please visit: https://hasocfire.github.io/hasoc/2022/ichcl.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> Task 3: Offensive Language Identification in Marathi This task aims to evaluate the hierarchical modelling of offensive language identification in Marathi. The task has three subtasks. Subtask-1: Offensive Language Detection In this subtask, the goal is to discriminate between offensive and non-offensive posts. Offensive posts include insults, threats, and posts containing any form of untargeted profanity. Each instance is assigned one of the following two labels: OFF - Posts containing any form of non-acceptable language (profanity) or a targeted offence, which can be veiled or direct. NOT - Posts that do not contain offence or profanity. Subtask-2: Categorisation of Offensive Language In subtask B, the goal is to predict the type of offence. Only posts labelled as Offensive (OFF) in subtask A are included in subtask B. The two categories in subtask B are the following: Targeted Insult (TIN): Posts containing an insult/threat to an individual, group, or others. Untargeted (UNT): Posts containing non-targeted profanity and swearing. Subtask-3: Offense Target Identification Subtask C focuses on the target of offences. Only posts that are either insults or threats (TIN) are considered in this third layer of annotation. The three labels in subtask C are the following: Individual (IND): Posts targeting an individual. Group (GRP): The target of these offensive posts is a group of people considered to a unity due to the same ethnicity, gender or sexual orientation, political affiliation, religious belief, or other common characteristics. Other (OTH): The target of these offensive posts does not belong to any of the previous two categories. Timeline: 5th June Task Announcement, Data of HASOC 2019,20,21 Available 1st Aug Training Data Release 1st Sept Test Data Release and Run Submission Starts 3rd Sept Registration Deadline 8th Sept Deadline for run submission 10nd Sept Result Declaration 30th Sept Paper Submission Deadline 10th Oct Review Distribution 20th Oct Revised system description paper submission 9th-13 Dec FIRE takes place in Hybrid mode Organizers: Thomas Mandl - University of Hildesheim, Germany Sandip Modha - LDRP-ITR, Gandhinagar, India Prasenjit majumder - DA-IICT, Gandhinagar, India Shrey Satapara - Indian Institute of Technology, Hyderabad, India Hiren Madhu - Indian Institute of Science, Banglore, India Tharindu Ranasinghe - University of Wolverhampton, UK Marcos Zampieri - Rochester Institute of Technology, USA Kai North - Rochester Institute of Technology, USA Damith Premasiri - University of Wolverhampton, UK For more information, please visit: https://hasocfire.github.io/hasoc/2022/index.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> For participation please visit: https://hasocfire.github.io/hasoc/2022/registration.html<https://url6.mailanyone.net/scanner?m=1oIuaZ-000ArL-3w&d=3%7Cmail%2F14%2F16…> For any clarification please contact us at hasocfire(a)gmail.com<mailto:hasocfire@gmail.com> Looking forward to your participation

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Postdoc/PhD position in XAI for medical NLP
by Damien Sileo 08 Aug '22

08 Aug '22

We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven.. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity. The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations). We will also leverage larger-scale data (without annotated explanation) in order to improve explanation generation. One way would be to use feature importance techniques (Integrated gradients, LIME or preferably search-based methods) applied to models trained to perform medical decisions, to guide explanation generation. KU Leuven is declared the most innovative university in Europe by Reuters four years in a row and is ranked 42th on the Times Higher Education World University Ranking (2022). Offer * We offer a research position for 2 years starting September 1 or the latest October 1, 2022. * We offer a competitive wage and yearly budget to attend conferences. * We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching. * Access to our deep learning cluster which contains the latest GPU hardware. If interested,please apply the latest by August 20h, 2022. Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found. Responsibilities * Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues. * Collaborate with the other European partners of the ANTIDOTE project. * Carry out some (light) teaching duties if interested, which may include lectures, the organization of student seminars, and the supervision of bachelor and master theses. Profile * You have (or are near completion of) a master or PhD in Computer Science . * Given that we have to fill in the research position very soon, we will only consider applicants who can work at KU Leuven, Belgium without visa. * You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus. * You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing. * You are good at collaborating with others. * You work proactively and independently and have good communication skills. * You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian). * You are highly motivated, ambitious and result-oriented. For more information please contact Dr Damien Sileo mail: damien.sileo(a)kuleuven.be or Prof. Dr. Marie-Francine Moens, mail: sien.moens(a)kuleuven.be with [XAI22] in your e-mail subject.

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Head of Internal Communications and Engagement, University of LEEDS, UK
by Eric Atwell 08 Aug '22

08 Aug '22

Just a couple of days left to apply for our Head of Internal Communications and Engagement role at the University of Leeds<https://www.linkedin.com/company/university-of-leeds/>. We are looking for a highly experienced and self-motivated internal communications leader with a proven ability to build, manage and motivate teams and establish productive stakeholder relationships, and to create and successfully implement audience content, channel and audience strategies to engage and build internal communities, in a complex environment. If this sounds like you, then please check out the details using the links below. https://jobs.leeds.ac.uk/Vacancy.aspx?ref=CSCOM1107 https://www.linkedin.com/posts/markdorey_job-opportunity-at-university-of-l…<https://www.linkedin.com/posts/markdorey_job-opportunity-at-university-of-l…> also see Jeff Allen, "Education - a commodity or a necessity" https://www.youtube.com/watch?v=wL5GIjktivQ&ab_channel=jeffallenfrance

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Free online course (MOOC) in CL and special offer
by Brezina, Vaclav 08 Aug '22

08 Aug '22

Dear all, Lancaster University offers a free online course (MOOC) in Corpus linguistics: ‘Corpus Linguistics: Method, Analysis, Interpretation’. The course starts on 19 September 2022 and runs for eight weeks. If you are interested, you can register now for free at https://www.futurelearn.com/courses/corpus-linguistics by clicking on ‘Join today’. **Special offer - £500 off Lancaster tuition fees** If you decide to study the free MOOC, or if you actively participated and completed the course within the last three years, you are eligible to apply for our MOOC entry route to Lancaster University’s MA (2 years, online) or Postgraduate Certificate (1 year, online). You can still apply for the 2022 start. By doing so, you will not take the first core module of the programme, Fundamentals of Corpus Linguistics, but will be expected to submit two written assessments, in January of year 1, using the knowledge you developed through the MOOC. This entry route has a fee discount of £500, which will be deducted from the first year of your fees. MA https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… PG Certificate https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:983e86f0-0557-4989-92e1-32caa1d1ba1c]@vaclavbrezina [cid:271e209b-19f4-4569-93c2-3cc500082e84]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Call for Submissions – EMNLP Workshop on NLP for Positive Impact
by Joel Tetreault 08 Aug '22

08 Aug '22

(apologies for cross-posting) Workshop website: https://sites.google.com/view/nlp4positiveimpact Submission website: https://softconf.com/emnlp2022/NLPforPositiveImpact2022/ Important Dates - (Submission channel 1) Latest submission deadline to Softconf: Aug 15, 2022 - (Submission channel 2; alternative) Latest ARR commitment deadline: Oct 2, 2022 (As the ARR site explains, authors can commit to venues when they have their reviews and meta-reviews. By Oct 2, you need to "commit" your ARR paper through Softconf, as in EMNLP 2022). - Notification of Acceptance: Oct 9, 2022 - Camera-Ready Papers Due: Oct 16, 2022 - Workshop Date: Dec 7, 2022 All deadlines are 11:59 PM (Anywhere on Earth <https://www.timeanddate.com/time/zones/aoe>) Summary The widespread and indispensable use of language-oriented AI systems presents new opportunities to have a positive social impact. NLP technologies are starting to mature to the point where they could have an even broader impact, supporting the UN sustainability goals <https://sdgs.un.org/goals> by helping to address big problems such as poverty, hunger, healthcare, education, inequality, COVID-19 and climate change. Our workshop aims to promote innovative NLP research that will positively impact society, focusing on responsible methods and new applications. We will encourage submissions from areas including (but not limited to): - Work that grounds the impact of NLP: Beyond developing a better-performing NLP model, can we make a step further to connect the model to actual social impact? Example directions include: case studies of real-world deployments; or improving the deployment and maintenance of NLP models in practice. In addition to commonly recognized NLP for social good areas such as NLP for healthcare, mental well-being, and many others, we also call for work on neglected areas such as NLP for poverty, hunger, energy, climate change, among others. We also highly value work that builds on interdisciplinary expertise, and encourage submissions of case studies or worked examples that seek to expand the social impact of NLP through collaboration with other fields (e.g., philanthropy, social science, political science, economics, HCI). - Work that guides researchers in NLP for Social Good: Can we provide insights and guidance to the field? Example directions include: measures of social impact; automatic identification of various social needs, their corresponding sizes and demographics of people affected; position papers to propose promising new tasks or directions that the field should pursue; literature review of a subfield; philosophical discussions of what social good is; approaches to interdisciplinary collaboration; user study designs, user surveys; ethical considerations, and other related topics. Note that we want submissions to our workshop to have some distinctive features of social good implications, beyond a general paper on NLP. We will require each submission to discuss the ethical and societal implications of their work, and encourage a discussion of what "positive impact" means in the work. Organizers - Zhijing Jin (Max Planck Institute & ETH Zurich) - Laura Biester (University of Michigan) - Dora Demszky (Stanford University) - Mrinmaya Sachan (ETH Zurich) - Joel Tetreault (Dataminr, Inc.) - Steven Wilson (Oakland University) - Lu Xiao (Syracuse University) - Jieyu Zhao (University of Maryland, College Park) Contact Email - nlp4pi.workshop(a)gmail.com

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2024

2023

2022