- Corpora - ELRA lists

TRAC 2022: Third CFP (COLING 2022 Workshop) *Deadline extended to July 25, 2022*
by Ritesh Kumar 14 Jul '22

14 Jul '22

*3rd (Online) Workshop on Threat, Aggression and Cyberbullying (TRAC - 2022)* Co-located with COLING 2022, October 17, 2022 Gyeongju, the Republic of Korea *Third Call for Papers and Deadline Extension* *Workshop Website*: https://sites.google.com/view/trac2022/home *Paper Submission*: https://www.softconf.com/coling2022/TRAC-2022/ *Submission Deadline*: July 25, 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. For any clarifications, contact coling.aggression(a)gmail.com. Looking forward to your participation!

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New publication: Shaping Writing Grades
by Susan Hunston 14 Jul '22

14 Jul '22

Dear list members, I am delighted to announce a new publication in the Elements in Corpus Linguistics series, by Lee McCallum and Philip Durrant. The Element title is: "Shaping Writing Grades: Collocation and Writing Context Effects". It explores relationships between collocations, writing quality and learner and contextual variables in a first-year university composition programme. The Element can be viewed here: https://www.cambridge.org/core/search?q=9781009074445&_csrf=Bx66KnU6-7EI4dZ…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cambr…>. It will be available free of charge for 2 weeks. The full Element abstract can be seen at the bottom of this email. This publication brings the number of Elements in this series to eight. The other titles in the series so far are: Multimodal News Analysis across Cultures (Caple, Huan & Bednarek) Doing Linguistics with a Corpus (Egbert, Larsson & Biber) Citations in Interdisciplinary Research Articles (Muguiro) Conducting Sentiment Analysis (Lei & Liu) Natural Language Processing for Corpus Linguistics (Dunn) The Impact of Everyday Language Change on the Practices of Visual Artists (Hocking) Analysis Language, Sex and Age in a Corpus of Patient Feedback (Baker & Brookes) Best wishes Susan Hunston (Series Editor) Abstract This Element explores relationships between collocations, writing quality, and learner and contextual variables in a first-year composition (FYC) programme. Comprising three studies, the Element is anchored in understanding phraseological complexity and its sub-constructs of sophistication and diversity. First, the authors look at sophistication through association measures. They tap into how these measures may tell us different types of information about collocation via a cluster analysis. Selected measures from this clustering are used in a cumulative links model to establish relationships between these measures, measures of diversity and measures of task, the language background of the writer and individual writer variation, and writing quality scores. A third qualitative study of the statistically significant predictors helps understand how writers use collocations and why they might be favoured or downgraded by raters. This Element concludes by considering the implications of this modelling for assessment. Professor Susan Hunston (she/her) Department of English Language and Linguistics University of Birmingham Birmingham B15 2TT UK (+44) 0121 414 5675 s.e.hunston(a)bham.ac.uk

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Second CFP: The 7th Arabic Natural Language Processing Workshop (WANLP-7 2022) / Co-located with EMNLP 2022
by Wajdi Zaghouani 14 Jul '22

14 Jul '22

*** Apologies for Cross-Posting *** The 7th Arabic Natural Language Processing Workshop (WANLP2022) will be a full-day event taking place on December 7 or 8, 2022 (in a hybrid mode). This year’s WANLP is co-located with EMNLP 2022 in Abu Dhabi, United Arab Emirates. Workshop URL: http://wanlp2022.arabic-nlp.net/ Submission URL: https://softconf.com/emnlp2022/WANLP2022 Important Dates - September 5: Workshop Paper Due Date - October 10: Notification of Acceptance - October 21: Camera-ready papers due (strict!) - December 7-8: Workshop Dates We invite submissions on topics that include, but are not limited to, the following: - Enabling core technologies: morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. - Applications: machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media, etc. - Resources: dictionaries, annotated data, corpus, etc. Submissions may include work in progress as well as finished work. Submissions§ must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. We have several submission tracks including long, short, and demo tracks. If you have any questions, please contact us at: wanlp2022(a)gmail.com The WANLP 2022 Organizing Committee http://wanlp2022.arabic-nlp.net/ ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Call for Nominations: The Microsoft BCS/BCS IRSG Karen Spärck Jones Award 2022
by Jochen L. Leidner 14 Jul '22

14 Jul '22

Call for Nominations: The Microsoft BCS/BCS IRSG Karen Spärck Jones Award 2022 TLDR: Closing date: 9 September 2022 ~ An award to commemorate Karen Spärck Jones ~ A pioneer of information retrieval, the computer science sub-discipline that also underpins the technology of modern Web search engines, Karen Spärck Jones was a British professor of Computers and Information at the University of Cambridge in Cambridge. Her contributions to the fields of Natural Language Processing (NLP) and Information Retrieval (IR), especially with regard to experimentation, have been outstanding, highly influential and lasting, and include the introduction of Inverse Document Frequency for relevance ranking. Her achievements resulted in her receiving a number of prestigious accolades such as the BCS Lovelace medal for her advancement in Information Systems, and the ACM Salton Award for her significant, sustained and continuing contributions to research in information retrieval. Karen was also an outspoken advocate for women in computing, and we encourage former advisors of talented scientists to provide the judges with a rich and diverse candidate pool to select from. To learn more about Karen and her work, visit: * https://en.wikipedia.org/wiki/Karen_Sp%C3%A4rck_Jones * https://www.youtube.com/watch?v=U8FecRxSiUM * https://www.youtube.com/watch?v=5fYeKiebpuo In order to honour Karen's achievements, the BCS Information Retrieval Specialist Group (BCS IRSG) in conjunction with the BCS has established an annual award to encourage and promote talented researchers who have endeavoured to advance our understanding of Natural Language Processing or Information Retrieval with significant experimental contributions. To celebrate the commemorative event, the recipient of the 2021 award will be invited to present a keynote lecture at BCS IRSG’s annual conference — the European Conference on Information Retrieval (ECIR) next year. This forum provides an excellent venue to present and announce the award as the conference attracts many new and young researchers. Eligibility. Open to all NLP/IR researchers who have no more than 10 years experience after their Ph.D. at the closing date for nominations (non-research times, e.g. parental leave or career breaks, will be taken into account to ensure equity; please point at such times in the nominee's CVs). Criteron. The candidate ought to have substantially advanced our understanding of NLP or IR or both through experimentation. Nominations. The following should be provided: • Name of nominee, position, affiliation, years since completion of the Ph.D.; • Name of person proposing the nominee, position, and affiliation; • Short case for the award, not to exceed 2,500 words, highlighting the contributions the individual has made; • List of the individual's top five publications reflecting the relevant contributions, and role within these; and • Exactly two supporting letters from people who would like to encourage/support the nomination. Nominations should be emailed to the panel chair below. The support letters can be emailed separately by the referees. It is possible for individuals to nominate themselves, in which case they should provide three support letters. Please note that we anticipate that people who provide support letters will do so only for a single candidate. Award Panel. The Award Panel Chair, appointed by the BCS IRSG Committee, will invite panel members from amongst representatives of the BCS main council, the BCS IRSG Committee, the European Chapter of the Association for Computational Linguistics (EACL), the Award-sponsoring organisation (unless there could be a conflict of interest), as well as seasoned experts in IR and NLP from academia and industry. Prize. The recipient of the award will receive a certificate, a trophy, a cash prize of £1000 plus expenses for the awardee to travel to ECIR 2023. Note that the Karen Spärck Jones Award will now alternate between ECIR and EACL to promote integration between the IR and NLP communities that Karen Spärck Jones was an active member of. The 2022 prize award lecture will take place at ECIR 2023. Timeline for the 2022 Award: • 9 September 2022 — closing date for nominations; • 17 September 2022 — deadline for support letters; • 9 December 2022 — notification of the prize recipient; • 2 April-6 April 2023 — recipient presents keynote at ECIR 2023 in Dublin, Ireland. The Karen Spärck Jones Award is sponsored by Microsoft Research Cambridge; we would like to thank our generous sponsors. Current Award Chair: Professor Jochen L. Leidner <leidner AT acm.org>. -- Prof. Jochen L. Leidner *M.A. M.Phil. Ph.D. FRGS* Professor of Explainable and Responsible Artificial Intelligence in Insurance, Coburg University of Applied Sciences, Coburg, Germany Visiting Professor of Data Analytics, Department of Computer Science, University of Sheffield, Sheffield, United Kingdom [ E-Mail: leidner (at) acm.org <leidner(a)acm.org> | Web: *https://www.sheffield.ac.uk/dcs/people/academic/jleidner <https://www.sheffield.ac.uk/dcs/people/academic/jleidner>* | LinkedIn: https://www.linkedin.com/in/leidner/ | Twitter: @jochenleidner <https://twitter.com/jochenleidner> ]

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QURATOR 2022 – Call for Papers – Deadline: 31 July
by Georg Rehm 14 Jul '22

14 Jul '22

*QURATOR 2022 – Third Conference on Digital Curation Technologies* *Call for Papers* *– Due to numerous requests the submission deadline has been extended to 31 July 2022 –* 23 September 2022 – Berlin, Germany Part of the QURATOR Conference 2022 – 19-23 September 2022 *https://qurator.ai/conference-qurator-2022/call-for-papers/* <https://qurator.ai/conference-qurator-2022/call-for-papers/> Digital curation is a complex time and knowledge intensive process, in which knowledge workers across various industries and application domains create new content artifacts and insights from heterogeneous sources (content, data, knowledge). The work required for this includes, e.g., selecting, summarizing, scheduling, translating, localising, structuring, condensing, enriching, visualizing and explaining the various contents, taking into account the steadily growing speed, volume and number of sources such as online newspapers, news portals, social media, linked data, business information systems, IoT data streams etc. AI methods, in particular from the field of language and semantic knowledge technologies, are used to support these tasks and thereby accelerate and qualitatively improve them. The Qurator conference provides a forum on the use of digital curation technologies in application domains for, e.g., media, journalism, logistics, cultural heritage, health care and life sciences, energy, industry. Of particular relevance are submissions that demonstrate the applied use of digital curation technologies and tools in domain-specific use cases and that bridge traditional boundaries between disciplines such as Artificial Intelligence and Semantic Web, data analytics and machine learning, information/content and knowledge management systems, information retrieval, knowledge discovery, and computational linguistics. *Topics of interest include, but are not limited to* Management of Digitally Curated and Semantically Expressive Information and Knowledge: • Knowledge representation and semantic knowledge management • Semantic content and data modeling and digital knowledge curation • Semantic integration, including transformation rules, ontology matching, merging, etc. • Ontology and rule engineering and metadata management • Ontology-based data management, linked data management, semantic big data management • Processes, workflows, roles and responsibilities in digital curation AI-based / Semantic Large Scale and Complex Information and Content Analysis: • Indexing, search and query answering in large volumes of data • Digital curation, semantic annotation, extraction, enrichment, summarization, and integration • Semantic storytelling, identification and generation of story paths and story lines • Text and content classification, especially for advanced class-specific processing workflows • Text genre and hypertext genre (web genre) classification • (Smart/big) data analytics, data mining, and machine learning / deep learning • Information and knowledge extraction including text mining • Streaming analytics, and semantic complex event processing Applications, Evaluations, and Experiences of applying digital curation technologies, standards, and tools including but not limited to the following domains: • AI / Semantic technology standards and tools • (Corporate) Semantic Web and Linked Data • Curation technologies and the Covid-19-pandemic • Document analysis and recognition • Semantic enterprise information systems and knowledge management • Semantic business process management (SBPM) and decision models • Semantic Web and the Internet of Things (IoT) • Crowdsourcing, human computation, and the People Web • AI/Semantic services and semantic Multi Agent Systems (MAS) • Personalisation and digital content interaction • Hypertext, multimedia, and hypermedia • Semantic storytelling and corporate smart content • Ubiquitous and mobile information systems • Information/data governance, information assurance, security, compliance • Semantic cloud computing, edge computing, fog computing • Semantic Web applications and tools for eCommerce, eScience, eCulture, media, Industrie 4.0 • Legal ontologies, rules, and reasoning • Distributed ledger/blockchain technologies for novel data/content management and smart contracts *Important Dates * Paper submission: 31 July 2022 – *extended submission deadline* Notification of acceptance: 22 August 2022 Camera ready due: 11 September 2022 QURATOR Conference Scientific Workshop: 23 September 2022 QURATOR Conference: 20-23 September 2022 The following types of submissions are invited: *Regular papers* (10-15 pages): Research papers – Original research on a topic of interest. In-use papers – New applications and tool descriptions addressing a topic of interest. *Short papers* (5-9 pages): Use Case and Position papers – use case descriptions and application notes, discovery notes, using digital curation applications and tools. Poster and Software demo papers – present software and tools in action. Industry application papers – report on industrial applications addressing a topic of interest *Student papers* (5-15 pages): Describe results of Bachelor/Master theses or student projects; the best student paper will receive an award. *Instructions for authors* All submissions are handled via EasyChair: https://easychair.org/conferences/?conf=qurator2022. All papers and posters/demos must be in English and submitted in PDF using the new CEUR-ART style for writing papers to be published in the CEUR-WS.org online proceedings at http://ceur-ws.org: - An Overleaf page for LaTeX users is available at: https://www.overleaf.com/read/gwhxnqcghhdt - An offline version with the style files including DOCX template files is available at: http://ceur-ws.org/Vol-XXX/CEURART.zip - The paper must contain, as the name of the conference: Qurator 2022: 3rd Conference on Digital Curation Technologies, September 19-23, 2022, Berlin, Germany - The title of the paper should follow the regular capitalization of English - Please, choose the single-column template - According to CEUR-WS policy, the papers will be published under a CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/deed.en) - If the paper is accepted, authors will be asked to sign (at pen) an author agreement with CEUR: - In case you do not employ Third-Party Material (TPM) in your draft, sign the document at http://ceur-ws.org/ceur-author-agreement-ccby-ntp.pdf?ver=2020-03-02 - If you do use TPM, the agreement can be found at http://ceur-ws.org/ceur-author-agreement-ccby-tp.pdf?ver=2020-03-02 Submissions for regular papers must be between 10-15 pages and submissions for short papers must be between 5-9 pages. Papers will be peer-reviewed by at least three members of the Scientific Program Committee. Accepted papers will be published in the CEUR-WS.org online proceedings at http://ceur-ws.org. *Organizing Committee* Adrian Paschke, Fraunhofer FOKUS and Freie Universität Berlin, Germany Georg Rehm, DFKI, Germany Clemens Neudecker, Staatsbibliothek zu Berlin, Germany Lydia Pintscher, Wikimedia, Germany Venue: the scientific workshop will take place ONLINE +++ Apologies for cross-posting +++ -- *Prof. Dr. Georg Rehm <http://georg-re.hm/>* Principal Researcher and Research Fellow DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens Amtsgericht Kaiserslautern, HRB 2313

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Search Solutions 2022 - Call for Presentations (*** deadline extended to 22 July ***)
by Udo Kruschwitz 13 Jul '22

13 Jul '22

Search Solutions 2022: Innovations in Search & Information Retrieval ===================================================== Search Solutions is the premier UK forum for the presentation of the latest innovations in search and information retrieval. We bring together practitioners, researchers, analysts and end users to discuss the latest developments in the information retrieval (IR) community and to share insights between research and practice. SS 2022 will be held at the BCS London office on Wednesday 23rd November with tutorials on Tuesday 22nd. Submission Guidelines ------------------------------ We solicit speaker proposals for talks around the following categories: • Innovative approaches used in IR production systems and products • Topical issues in IR practice, e.g. trust, bias, and fairness • Presentations that build bridges across disciplines, e.g information science, data science, user experience • Presentations that discuss IR practice across professional communities, e.g. eCommerce, media, recruitment, library and information science, healthcare information, etc. • Case-studies, e.g. best practices, design principles, evaluation techniques We encourage presentations from startups and open-source projects. The presentation format of the event will be a combination of long and short presentations plus panels. We prefer on-site presentations, but will consider remote participation. Proposals should be no more than 1 page and include: • Title • Abstract • Main contribution & take-aways for attendees • A short bio of the presenter and/or a brief organisation outline • Preference for on-site or remote presentation Proposals should be submitted electronically to irsg(a)bcs.org.uk. There will be a separate call for tutorials at SS 2022. Important Dates ---------------------- • Time zone: Anywhere on Earth (AoE) • Talk proposal due: *** extended *** 22 July • Notifications: 30 July Organisers --------------- • Ingo Frommholz • Frank Hopfgartner • Udo Kruschwitz • Tony Russell-Rose • Martin White • Haiming Liu (tutorials chair) Past Events ---------------- For past Search Solutions events and links to slides and videos please check out https://www.bcs.org/membership-and-registrations/member-communities/informa… Contact ---------- For further details, contact irsg(a)bcs.org.uk.

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[job] PhD position in Machine Learning for Natural Language Processing at the University of Amsterdam
by vlad.niculae.uva＠gmail.com 13 Jul '22

13 Jul '22

PhD position in Machine Learning for Natural Language Processing at the University of Amsterdam, Language Technology Lab. The call text is below my signature, mirrored from the official listing: https://vacatures.uva.nl/UvA/job/PhD-Position-in-Machine-Learning-for-Natur… Apply, only through the link above, before August 21, 2022. For more context, see also my web site https://vene.ro/jobs.html. For further questions, don’t hesitate to e-mail me—please include [PhD 9665] in the subject line so my filters can catch your email. If you are interested in joining the team, perhaps this specific listing does not speak to you, but you are interested in: - Uncertainty-aware generative models of language / conversations - Explainability methods for language generation and structured prediction - Adaptable, multimodal generation and translation - Use of context in natural language generation problems then I very much encourage you to apply (mentioning this in the motivation letter). Vlad Niculae [he/him] Asst. Prof. @ LTL, IvI, University of Amsterdam https://vene.ro ---- The Language Technology Lab at the Informatics Institute of the University of Amsterdam invites application for a fully-funded, four-year PhD position in Machine Learning for Natural Language Processing (NLP) in connection with the Hybrid Intelligence Centre. Are you eager to work on fundamental research questions in generative models, latent variables, optimization, and geometric representation learning, for the benefit of building hybrid natural language technologies that can collaborate with people in trustworthy and controllable ways, for concrete use cases like translation, summarization, question answering, or dialogue systems? This position could be the one for you. What are you going to do You will work alongside LTL colleagues under the supervision of Dr. Vlad Niculae to investigate and improve NLP deep generative models along the axes of expressiveness, controllability, transparency, and efficiency. We will be particularly looking into overcoming the tension between the discreteness of language and the continuity of deep learning and taking cue from recent developments in continuous energy-based models and diffusion models. A main motivation comes from language technology in Hybrid Intelligence, that is, intelligent systems that empower people and take human expertise and intentionality into account through interaction, controllability, and uncertainty awareness. We will always put first the social and political impact of any technology we develop. Tasks and responsibilities With our help and support, you will: - Innovate deep generative models of language, pushing boundaries in expressiveness, controllability, transparency, and/or efficiency; - Design, implement, and perform controlled experiments to verify research hypotheses and answer fundamental research questions; - Complete and defend your PhD thesis; - Become an active participant in the research community and collaborate within and outside the Language Technology Lab; - Publish and present work regularly at international conferences, workshops, and journals; - Assist in teaching activities (labs / tutorials) and in supervising bachelor and master projects. We care strongly about respecting work-life balance and contractual hours. What do you have to offer Your experience and profile: - A Master’s degree (completed or near completion) with a thesis in Natural Language Processing, Machine Learning, Computer Science, or similar relevant areas; - serious interest in pursuing fundamental research with concrete applications; - a good background in Natural Language Processing, Machine Learning, and Deep Learning; - advanced programming skills; - professional command of the English language; - commitment to maintaining an inclusive, collaborative, diverse, and supportive work environment. Interdisciplinary collaborations and backgrounds are appreciated, especially along fields related to linguistics and communication science. If this describes you, we encourage your application. If you are interested but unsure if you are qualified, please contact Dr. Vlad Niculae before applying. If your Master’s degree is near completion, it must be completed before the start date. Knowledge of the Dutch language is not required for this position, and it is helpful but not necessary for living in Amsterdam. The UvA provides the opportunity to attend Dutch language classes. Our offer A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is September-October 2022. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 2,541 to € 3,247 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile PhD Candidate (Promovendus) is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable. Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January. Multiple courses to follow from our Teaching and Learning Centre. A complete educational program for PhD students. Multiple courses on topics such as leadership for academic staff. Multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses. 7 weeks birth leave (partner leave) with 100% salary. Partly paid parental leave. The possibility to set up a workplace at home; A pension at ABP for which UvA pays two third part of the contribution. The possibility to follow courses to learn Dutch; Help with housing for a studio or small apartment when you’re moving from abroad. Are you curious to read more about our extensive package of secondary employment benefits, take a look here. About us The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity. The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain. The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. This position is with dr. Vlad Niculae, Assistant Professor in the Language Technology Lab (LTL). The LTL is a research group focusing on information access from natural language data. Our work ranges from basic research in natural language processing to key applications in human language technology, and covers areas such as machine translation, summarization, question answering, language modeling, and image captioning. You will also benefit from collaborating with the Hybrid Intelligence Centre, a 10-year program funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organization for Scientific Research, a collaboration between top research institutions in the Netherlands. Want to know more about our organisation? Read more about working at the University of Amsterdam. Questions Do you have any questions or do you require additional information? Please contact: Dr. Vlad Niculae, Assistant Professor Job application If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button below. We accept applications until and including 21 August 2022. Applications should include the following information (all files besides your CV should be submitted in one single pdf file): A Curriculum Vitae; A letter of motivation (max 2 pages) in which you: motivate your choice for this position; indicate your preferred starting date and availability; sketch out some thoughts and ideas about the project (not a fully-detailed proposal); A summary of, or a copy of, your Master’s thesis; A copy of your Master’s and Bachelor’s transcript/diploma. Please mention the months (not just years) in your CV when referring to your education and work experience. If your MSc thesis is not finished or not in English, submit a brief summary in 1-4 pages. If your transcripts or diplomas are not available yet, please attach a note clearly stating which documents are not available, and when they will be available. This note can be in your own words. Please do not submit applications by e-mail. Please use the CV field to upload your resume as a separate pdf document. Use the Cover Letter field to upload the other requested documents, including the motivation letter, as one single pdf file. Only complete applications received within the response period via the link below will be considered. We will invite potential candidates for interviews soon after the expiration of the vacancy. The UvA is an equal-opportunity employer. We prioritize diversity and are committed to creating an inclusive environment for everyone. We value a spirit of enquiry and perseverance, provide the space to keep asking questions, and promote a culture of curiosity and creativity. If you encounter Error GBB451, reach out to our HR Department directly. They will gladly help you continue your application. No agencies please.

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Postdoc/PhD position in XAI for medical NLP
by Damien Sileo 13 Jul '22

13 Jul '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 July 31, 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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CFP Reproducibility and Explainability in Digital Humanities
by Karina van Dalen-Oskam 13 Jul '22

13 Jul '22

The International Journal of Digital Humanities<https://www.springer.com/journal/42803> (IJDH) invites articles for a special issue on "Reproducibility and Explainability in Digital Humanities", planned for summer 2023. Fabian Offert (UCSB<https://www.gss.ucsb.edu/people/fabian-offert>), Karina Van Dalen-Oskam (UvA<https://www.uva.nl/en/profile/d/a/k.h.vandalen-oskam/k.h.van-dalen-oskam.ht…>), and Thorsten Ries (UTA<https://liberalarts.utexas.edu/germanic/faculty/tr24969>) are editing this special issue. Please find the complete Call for Papers here<https://www.springer.com/journal/42803/updates/23255012> and consider submitting an abstract (about 200 words) by Sept 01 via our online form<https://utexas.qualtrics.com/jfe/form/SV_5gXXVFzFrcti58y>. Links: CfP: https://www.springer.com/journal/42803/updates/23255012 Submit abstracts: https://utexas.qualtrics.com/jfe/form/SV_5gXXVFzFrcti58y Best wishes, Karina van Dalen-Oskam

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Second Call for Papers: CODI 2022 - 3rd workshop on Computational Approaches to Discourse
by Chloé Braud 12 Jul '22

12 Jul '22

** apologies for cross-postings ** CODI, 3rd Workshop on Computational Approaches to Discourse Gyeongju, Republic of Korea ** Submission deadline: July 25, 2022 ** * Important information: The CODI workshop will be a hybrid workshop following COLING’s format. The workshop will take place on October 16-17, 2022. * Aims and scope The last ten 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 have organized two Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020 and at EMNLP 2021 to bring together discourse experts and upcoming researchers. These workshops have catalyzed the speed and knowledge needed to solve such problems and have served 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 3rd CODI workshop is planned as a 1 1/2 day event which brings together different subcommunities. It will feature invited talks and regular papers on the first day. The second day will be dedicated to shared tasks and special sessions which focus on the issues mentioned above. After a first successful iteration in 2021 the shared task on coreference resolution (encompassing entity and abstract coreference and bridging anaphora) in dialogue will be held again in 2022 as the CODI-CRAC 2022 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue, next to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. 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: regular workshop papers, demos, shared task papers and extended abstracts. 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 be 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. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. 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. Double submission of papers is allowed but will need to be notified at submission. Submission website All submissions must be anonymous and follow the COLING 2022 formatting instructions described here: https://coling2022.org/Submission Please submit your workshop papers at https://www.softconf.com/coling2022/CODI/ Shared task papers should be submitted to the links specified on the shared task pages. Important dates * 2022-07-25: CODI papers due * 2022-08-03: Reviewing period * 2022-08-24: Reviews due * 2022-09-01: Notification of acceptance * 2022-09-12: Camera ready deadline for main conference and CODI * 2022-10-16 – 2022-10-17: CODI workshopAll deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Invited Speakers * Nate Chambers, US Naval Academy * Bonnie Webber, University of Edinburgh Organizers * Chloé Braud, CNRS-IRIT * Christian Hardmeier, IT University of Copenhagen and Uppsala University * Jessy Li, University of Texas, Austin * Sharid Loáiciga, University of Gothenburg * Michael Strube, Heidelberg Institute for Theoretical Studies * Amir Zeldes, Georgetown UniversityTo contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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2024

2023

2022