- Corpora - ELRA lists

ECIR’23: Call for Full Papers (due Sep 30/Oct 7)
by Jaap Kamps 25 Aug '22

25 Aug '22

ECIR'23: 45th European Conference on Information Retrieval Dublin, Ireland, April 2-6, 2023 https://ecir2023.org/ Sep 30, 2022: Abstract deadline Oct 7, 2022: Full paper deadline ECIR’23 is seeking submissions of direct and indirect relevance to information retrieval in a broad sense. We wish to highlight significant contributions addressing the main challenges of providing effective search and retrieval, multimedia and multi-modal content management, user interaction, large-scale search, machine learning, as well as societal and technical challenges. Detailed Call for Papers: https://easychair.org/cfp/ecir23 PC Chairs: Jaap Kamps (Univ. Amsterdam), Lorraine Goeuriot (Univ. Grenoble Alpes), Fabio Crestani (USI), ecir23-pc-chairs(a)easychair.org

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[Corpora-List][CfP] First Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022
by Tirthankar Ghosal 25 Aug '22

25 Aug '22

*** First Workshop on Information Extraction from Scientific Publications ( WIESP) at AACL-IJCNLP 2022 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/ *** Twitter: https://twitter.com/wiesp_nlp The number of scientific papers published per year has exploded in recent years. Indexing the article's full text in search engines helps discover and retrieve vital scientific information to continue building on the shoulders of giants, informing policy, and making evidence-based decisions. Nevertheless, it is difficult to navigate this ocean of data. Using simple string matching has substantial limitations: human language is ambiguous in nature, context matters, and we frequently use the same word and acronyms to represent a multitude of different meanings. Extracting structured and semantically relevant information from scientific publications (e.g., named-entity recognition, summarization, citation intention, linkage to knowledge graphs) allows for better selection and filter articles. The First Workshop on Information Extraction from Scientific Publications ( WIESP) will create the necessary forum to foster discussion and research using Natural Language Processing and Machine Learning. WIESP would specifically focus on topics related to information extraction from scientific publications, including (but not limited to): - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata - Information extraction from COVID-19 articles to inform public health policy In addition to research paper presentations, WIESP would also feature keynote talks, a panel discussion, and a shared task. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. ***Position papers*** will give voice to authors who wish to take a position on a topic listed above or the field of scholarly information extraction. Submissions need not present original work and should be two to four pages in length, including title, text, figures and tables, and references. ***Demo papers*** should be no more than four (4) pages in length, including references, and should describe implemented systems that are of relevance to the theme of the workshop. Authors of demo papers should be willing to present a demo of their system during WIESP at AACL-IJCNLP 2022. ***Extended Abstracts*** We welcome submissions of extended abstracts (2 pages max) related to the research topics mentioned above. Submissions may include previously published results, late-breaking results, or a description of ongoing projects in the broad field of information extraction and mining from scientific publications. Extended abstracts can also summarize existing work, work in progress, or a collection of works under a unified theme (e.g., a series of closely related papers that build on each other or tackle a common problem). ***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity Recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall, 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysical Data System ( https://ui.adsabs.harvard.edu/). ***Important Dates*** - Paper/Abstract Submission Deadline: August 25, 2022 - Notification of workshop paper/abstract acceptance: September 25, 2022 - Camera-ready Submission Deadline: October 10, 2022 - Workshop: November 20, 2021 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: softconf.com/aacl2022/WIESP Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. Position papers, Demo papers, and Extended Abstracts need not be anonymized. The authors will present accepted papers at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings. We follow the same policies as AACL-IJCNLP 2022 regarding preprints and double submissions. The anonymity period for WIESP 2022 is from July 15 to September 25. ***Organizers*** - Tirthankar Ghosal, Charles University, CZ - Sergi Blanco-Cuaresma, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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New Catalan corpus available online
by Xu, Jiajin 24 Aug '22

24 Aug '22

Dear list members, We are pleased to announce a new corpus of present-day *Catalan*. The caGLOBE Corpus (Version 1.1) is a balanced collection of contemporary *Catalan *written texts, totaling one million words. The text samples in the corpus were gathered and cleaned up by Wei Sun, School of Hispanic and Portuguese Studies, Beijing Foreign Studies University (BFSU), China. The online version of the caGLOBE Corpus is available at http://114.251.154.212/cqp/. Both user ID and passcode are 'test'. More information can be found at http://corpus.bfsu.edu.cn/info/1082/1821.htm. Best, Jiajin XU, Ph.D., Professor National Research Centre for Foreign Language Education, Beijing Foreign Studies University, China

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Fwd: [parole] Call for PostDoc applications in affective computing at Grenoble Alps University, France
by François Portet 24 Aug '22

24 Aug '22

-------- Message transféré -------- Sujet : [parole] Call for PostDoc applications in affective computing at Grenoble Alps University, France Date : Wed, 24 Aug 2022 11:14:47 +0200 De : Fabien Ringeval <fabien.ringeval(a)imag.fr> Répondre à : Fabien Ringeval <fabien.ringeval(a)imag.fr> Pour : hri-group(a)lists.andrew.cmu.edu, iva-list(a)lists.uni-bielefeld.de, ICMI-MULTIMODAL-ANNOUNCE(a)listserv.acm.org <ICMI-MULTIMODAL-ANNOUNCE(a)LISTSERV.ACM.ORG>, Les infos du Risc <PourInfos(a)risc.cnrs.fr>, elsnet-list(a)elsnet.org, parole(a)listes.afcp-parole.org, news(a)isca-speech.org =/=/=/= Parole, la liste de diffusion de l'AFCP =\=\=\=

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UCSC NLP Capstone Workshop is this Friday (August 26) - Register to Attend Online
by Emelye Neff 23 Aug '22

23 Aug '22

Greetings! *UC Santa Cruz* invites you to the *2022 Natural Language Processing Capstone Workshop* to be held online this Friday, August 26th. Join us on August 26 (1 - 5 PM PDT) to learn about industry-mentored Capstone projects developed by our NLP M.S. students. To register for the 2022 NLP Capstone Workshop, please complete this registration form <https://ucsc.zoom.us/webinar/register/WN_xOV5vxrgQpWjaeCcK_ZFMA>. Registration is free. *Workshop Sessions:* - Keynote Address: Hear insights about the future of NLP from incoming UCSC CSE and NLP faculty member, Professor Ian Lane. - NLP Capstone Projects: Watch student teams present Capstone projects mentored by industry experts from IBM, Interactions, LinkedIn, and Google. - NLP Industry Panel: Join our expert panel of leading scientists for insights on career opportunities in the NLP field. *The 2022 NLP Capstone Projects and Mentors are:* - *IBM Research: *Probing of Language Models for Code *- Interactions: *Neural Models of Supertagging for Semantic Role Labeling and Beyond *- LinkedIn: *Comparing Dictionaries and Word Embeddings *- Google and UCSC: *Multimodal Knowledge Extraction and Question Answering in Farming Learn more about the 2022 NLP Capstone projects and mentors by visiting our website <http://nlp.ucsc.edu/capstone-projects>. If you have any questions about the event, please contact the NLP Program Team <nlp(a)ucsc.edu>. We look forward to seeing you at this year's workshop! All the best, Emelye -- *Emelye Neff* Program Coordinator Natural Language Processing Program <https://nlp.ucsc.edu/> Baskin Engineering University of California, Santa Cruz

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[CFP] SemEval-2023 Task 6: LegalEval: Understanding Legal Texts - First Call for Participation
by Ashutosh Modi 23 Aug '22

23 Aug '22

Hi All, We invite you to participate in SemEval-2023 Task 6: LegalEval: Understanding Legal Texts *Task Website: *https://sites.google.com/view/legaleval/ <https://sites.google.com/view/legaleval/> *Registration: *https://forms.gle/uoeRrqjcYLnae5Ls6 In populous countries (e.g., India), pending legal cases have grown exponentially. Due to the nature of the legal domain, it may not be possible to automate the entire judicial pipeline completely; nevertheless, many intermediate tasks can be automated to augment legal practitioners and hence expedite the system. However, legal texts are different from commonly occurring texts typically used to train NLP models which make it difficult to apply existing NLP models and techniques directly, which calls for the development of legal domain-specific techniques. We are proposing 3 shared subtasks which will act as building blocks in developing legal AI applications: (A) Rhetorical Roles (RR): Structuring unstructured legal documents into semantically coherent units (B) Legal Named Entity Recognition (L-NER): Identifying relevant entities in a legal document (C) Court Judgement Prediction with Explanation (CJPE): Predicting the outcome of a case along with an explanation Participants can take part in one or more subtasks. *Shared task schedule:* - Training data ready: September 1, 2022 - Evaluation data ready: December 15, 2022 - Evaluation start: January 10, 2023 - Evaluation end: by January 31, 2023 - System description paper submissions due: February 23, 2023 - Notification to authors: March 31, 2023 *Task organizers* - *Prathamesh Kalamkar * <https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fprathame…> - *Saurabh Karn* <https://www.google.com/url?q=https%3A%2F%2Fagami.in%2Fabout%2F%23Saurabh&sa…> - *Smita Gupta * <https://www.google.com/url?q=https%3A%2F%2Fagami.in%2Fabout%2F%23Smita&sa=D…> - *Sachin Malhan* <https://www.google.com/url?q=https%3A%2F%2Fagami.in%2Fabout%2F%23Sachin&sa=…> - *Vivek Raghavan* <https://www.google.com/url?q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fvivek-ra…> - *Shouvik Guha* <https://www.google.com/url?q=https%3A%2F%2Fwww.nujs.edu%2Ffaculty%2Fdr-shou…> - *Ashutosh Modi* <https://www.google.com/url?q=https%3A%2F%2Fashutosh-modi.github.io%2F&sa=D&…> Please reach out to the organizers at: legalaieval(a)gmail.com Thank you, Ashutosh --------------------------------------------------------- Dr. Ashutosh Modi Assistant Professor Dept. of Computer Science and Engineering (CSE) Indian Institute of Technology, Kanpur (IITK) W: https://www.cse.iitk.ac.in/users/ashutoshm/

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Two PhD positions on NLP & Social Network Analysis for Ancients Texts - KU Leuven
by tim.vandecruys＠kuleuven.be 23 Aug '22

23 Aug '22

Within the context of the ID-N project NIKAW, funded by the Special Research Fund (BOF) of KU Leuven, we are inviting applications for two PhD positions on the subjects of (1) machine learning for information extraction from ancient texts and (2) social network analysis for the transmission of ideas in the Ancient World. The set of thoughts, ideas, and beliefs that are shared, discussed, and enriched in a society is a complex and dynamic reality, constantly fed by and giving way to historical events. Nowadays, the easy access to social network and telecommunication data, online publications, and, for instance, book sales data, has increased our possibilities of analyzing this flow of information incredibly. In this project, however, we want to investigate how we can map the circulation of ideas and identify pivotal individuals in past societies, namely the Graeco-Roman world, whose fragmented history, encompassing many centuries, can only be studied through partial remainders. To this end, the NIKAW project aims to exploit textual information from the ancient world to reconstruct the transmission of knowledge across multilingual, geographically and chronologically extended communities. More information on the two positions can be found at (1) https://www.kuleuven.be/personeel/jobsite/jobs/60138308?hl=en&lang=en (2) https://www.kuleuven.be/personeel/jobsite/jobs/60138293?hl=en&lang=en For inquiries, please contact Margherita Fantoli (margherita.fantoli(a)kuleuven.be) or Jens Bürger (jens.burger(a)kuleuven.be) Deadline for applications: Thursday, September 8, 2022

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[Corpora-List]CfP: Special issue on Cumulative knowledge building and replication in Learner Corpus Research
by Tove E Larsson 23 Aug '22

23 Aug '22

Call for papers for the International Journal of Learner Corpus Research (Benjamins): Special issue on Cumulative knowledge building and replication in Learner Corpus Research Guest editors: Tove Larsson & Doug Biber (Northern Arizona University) Compared to other subfields of linguistics, Learner Corpus Research (LCR) has a relatively short history. For this and other reasons, most of the studies that get published in the field are exploratory in nature and focus on topics that have yet to receive prolonged attention. Such studies no doubt make valuable contributions to the field. However, LCR is arguably mature enough as a field to also have accumulated enough knowledge on certain topics for researchers to be able to instead adopt a cumulative approach. In the cumulative approach to knowledge building, individual studies are viewed as building blocks, carefully pieced together to help us form an increasingly better understanding of a topic. There are three distinguishing characteristics of this approach: First, the literature review focuses on what we have actually learned from previous research on the topic, rather than merely cataloging individual studies. Second, the research ‘gap’ refers to an important missing element in our cumulative knowledge, rather than to a research angle that has not been explored yet; that is, the literature review is used to identify a missing piece in an existing puzzle, rather than to justify starting a new one. And finally, results of the new study are explicitly compared to previous findings, to discuss the state of our knowledge based on all studies taken together. Through this big-picture thinking, we can collectively refine our understanding of the topic, and further our knowledge in a systematic matter. Put differently, this approach enables us to build a state-of-the-art in the field by moving beyond the results of individual studies. With this call, we invite studies of two kinds: * Empirical studies that set out to test hypotheses arrived at from an existing body of research with the explicit aim of adding to our knowledge on a given topic that has received ample attention in LCR. Examples of topics that may be ripe for studies of this kind include, but are not limited to, linguistic complexity and the formulaic nature of learner language. * Empirical studies that replicate findings from an existing body of research and, importantly, that focus on strengthening and/or tweaking existing generalizations in LCR. Examples of topics include, but are not limited to, claims of the spoken-like nature of learners’ written production. Timeline: * August 1, 2022: Abstract and title due * September 1, 2022: Authors are notified * September 1, 2023: Full manuscript due Please send submissions to tove.larsson(a)nau.edu<mailto:tove.larsson@nau.edu> --- Tove Larsson, Ph.D. Assistant Professor of Applied Linguistics English Department Northern Arizona University https://tovelarssoncl.wordpress.com

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Vacancy Assistant Professor in NLP at Maastricht University
by Spanakis, Jerry (DKE) 23 Aug '22

23 Aug '22

Hi all, My department (Department of Advanced Computing Sciences<https://www.maastrichtuniversity.nl/research/department-advanced-computing-…>) has a vacancy for an assistant professor in NLP. Focus can vary: machine translation, question answering, information retrieval, NLP applications, etc. The text follows. Apply here<https://www.academictransfer.com/en/316633/assistant-professor-in-computer-…> by October 2nd. Please share the position in your network. If you have any questions about the position or the city, feel free to contact me! Best, Gerasimos (Jerry) Spanakis, PhD Assistant Professor Department of Advanced Computing Sciences | Maastricht Law+Tech Lab Faculty of Science and Engineering jerry.spanakis(a)maastrichtuniversity.nl<mailto:jerry.spanakis@maastrichtuniversity.nl> https://dke.maastrichtuniversity.nl/jerry.spanakis/ [cid:image001.png@01D4BD3B.1A7CBE90] Paul-Henri Spaaklaan 1, 6229EN, Maastricht, The Netherlands, Room C4.029A Postbus 616, 6200 MD Maastricht T 0031(0)4338-83916 [cid:image002.jpg@01D4BD3B.1A7CBE90] — JOB DESCRIPTION We invite applications for an assistant professor position in computer science, focused on natural language processing (NLP). The position is open to all areas of NLP. We are particularly interested in candidates who have expertise in applying NLP in areas such as human-machine interaction, cognitive and social robotics, decision making, text mining, dialogue and communicative systems, automated argumentation, question answering, machine translation, information extraction, and NLP for social goods. As an assistant professor, you will undertake cutting-edge research in an academic environment that is intellectually stimulating, welcoming, and collaborative. You will also contribute to our top-rated education, which is integrated with ongoing research in the department. Responsibilities | More specifically, you will: * Conduct leading research in your field of expertise; * Teach courses at the bachelor and master level (in English); * Supervise students at all levels (BSc, MSc, PhD); * Network and collaborate with internal and external research partners; * Apply for research funding on a national and European level. REQUIREMENTS Profile | Our ideal candidate has: * A PhD degree in computer science, computational linguistics, machine learning, applied mathematics, engineering, or a strongly related field; * At least 1 year working experience in an academic environment post-PhD; * A track record in research and teaching * Experience with applying for research funding; * Experience with guiding Bachelor/Master/PhD students; * Fluent mastery of the English language; * A personality characterized by team spirit, ambition, and vision; * A keenness to build bridges between disciplines and to work in an interdisciplinary environment. We will help you develop yourself as a teacher and obtain a University Teaching Qualification (BKO, for basiskwalificatie onderwijs: an official certification for teaching at Dutch universities) through a training programme, in case you are not yet certified. CONDITIONS OF EMPLOYMENT We offer a position (1.0 FTE) as Assistant Professor (universitair docent), starting as soon as possible. Upon satisfactory performance in the one and a half year probationary period, this initially 18 months position will become permanent. We offer a salary as stipulated in the Collective Labour Agreement of the Dutch Universities. Within this framework, we offer a competitive salary with a minimum of € 3,974 and a maximum of € 6,181 per month (depending on your experience) for a full-time position of 38 hours/week. On top of this, there is an annual holiday allowance (8% of annual income) and an annual end-of-year bonus (8.3% of annual income). Applicants from outside The Netherlands may be eligible for the so-called 30% ruling, a tax cut for highly skilled migrants that applies for a maximum of five years. If you are moving to Maastricht from more than 40 kilometers away, you may qualify for a one-time reimbursement of your relocation costs The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. Notable terms include a pension scheme, an optional collective healthcare plan and partially paid parental leave. Furthermore, UM makes use of a selection model, which allows you to exchange employment conditions to adapt them to your preferences and circumstances. For more information look at the website www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/> > About UM > Working at UM. EMPLOYER Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. For more information, visit www.maastrichtuniversity.nl<http://www.maastrichtuniversity.nl/>. Living and working in Maastricht | DACS is housed in the historical city center of Maastricht, The Netherlands. Situated in the heart of Europe and within 30 kilometers from the German and Belgian borders, Maastricht and its 120,000 inhabitants have a strong international character. It is a safe and family-friendly city with a history spanning more than 2,000 years. The city’s rich past is reflected everywhere in the streets: the ratio of monuments-to-inhabitants is roughly 1:73. If you are unfamiliar with The Netherlands, UM’s Knowledge Centre for International Staff will gladly assist you with practical matters such as housing. DEPARTMENT Department of Advanced Computing Sciences | The Department of Advanced Computing Sciences is Maastricht University’s largest and oldest department broadly covering the fields of artificial intelligence, data science, computer science, mathematics and robotics. Over 100 researchers work and study in the Department of Advanced Computing Sciences, whose roots trace back to 1987. The department’s staff teaches approximately 800 bachelor’s and master’s students in 3 specialized study programmes in Data Science and Artificial Intelligence. https://www.maastrichtuniversity.nl/dacs Faculty of Science and Engineering | Maastricht University heavily invests in the growth of its STEM research and education. The Faculty of Science and Engineering is one of the focal points of these developments. Within the Faculty of Science and Engineering, over 260 researchers and more than 2,700 students work on themes such as data science and artificial intelligence, circularity and sustainability, and fundamental physics. ADDITIONAL INFORMATION More information If you have questions about this position, you can refer to: Prof. Mark Winands, Professor in Machine Reasoning, Chair of DACS E-mail: m.winands(a)maastrichtuniversity.nl<mailto:m.winands@maastrichtuniversity.nl> If you are interested in the position of Assistant Professor in Computer Science / NLP at DACS, we welcome you to apply via Academic Transfer (link). We strongly believe in diversity (including but not limited to nationality, age and gender) and encourage you to apply if you are qualified for this position.

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CFP: InterNLP 2022 -- workshop on interactive learning for NLP @ NeurIPS
by Kianté Brantley 23 Aug '22

23 Aug '22

--------------------------------------------------------------------------- CALL FOR PAPERS: InterNLP 2022 NeurIPS Workshop --------------------------------------------------------------------------- The 2nd workshop Interactive Learning for Natural Language Processing (InterNLP 2022; https://internlp.github.io/), will take place on December 3, 2022 in New Orleans, LA, USA, as part of NeurIPS Workshops. We'd like to invite you to submit papers in any of the areas covered by the title, as well as the following topics with a focus on NLP: - Learning through interaction with human users - Active learning, reinforcement learning, bandit learning in interactions - Human feedback and preferences as a learning signal - Modeling for interactive learning - User effort and experience in interactive learning scenarios - Evaluation and reproducibility in interactive learning systems - Benchmarks, tasks, and datasets for interactive learning - Empirical results for applications of interactive methods A submission should be made in the form of a short 4-page extended abstract using the NeurIPS LaTeX style. Manuscripts should be anonymized in accordance with the same rules as NeurIPS papers. References and appendices can extend as far beyond the 4-page limit as needed. We accept new and original work and submissions describing previously published work. The workshop is non-archival. Important dates: Submission deadline: September 22, 2022 Notification of acceptance: October 15, 2022 Camera-ready papers deadline: TBD Workshop: December 3, 2022 Submission link: https://openreview.net/group?id=NeurIPS.cc/2022/Workshop/InterNLP Contact email: internlp2022(a)googlegroups.com Organizers: Kianté Brantley, Soham Dan, Ji-Ung Lee, Khanh Nguyen, Edwin Simpson, Alane Suhr, and Yoav Artzi

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