- Corpora - ELRA lists

PhD and Postdoc positions at CIS/LMU Munich in NLP and Deep Learning
by Barbara Plank 18 Aug '22

18 Aug '22

The Center for Information and Language Processing (CIS) at LMU Munich has several fully-funded positions in Natural Language Processing and Deep Learning available in the groups of Barbara Plank and Hinrich Schütze. Application deadline: September 8th, 2022 Details and application: https://www.cis.lmu.de/web/jobs2022.html

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Tenure-track Lecturer positions at CIS/LMU Munich in Computational Linguistics and NLP
by Barbara Plank 18 Aug '22

18 Aug '22

The Center for Information and Language Processing (CIS) at LMU Munich (co-directed by Barbara Plank and Hinrich Schütze) has two open tenure-track lecturer positions (Akademische/r Rat/Raetin auf Lebenszeit) in computational linguistics / natural language processing. Application deadline: September 30th, 2022 Details and application: https://www.cis.lmu.de/web/arpositions2022.html

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Survey Study on Sign Language Computation using Machine Learning  
by Hal Daume 18 Aug '22

18 Aug '22

Hello! We are a team of researchers from MSR New England and New York. We are seeking participants (aged 18 or older) who have experience in machine learning or are interested in applying machine learning to developing computational models for signed languages for a survey study. The purpose of this project is to explore how machine learning practitioners can better build machine learning models for sign language computation (e.g., recognition/translation). We want to understand your general motivations in working with machine learning problems and expected challenges when newly working with sign language data and tasks. Please know that sign language knowledge or sign language computation experience is NOT required to participate in this project. The survey can be found at https://forms.office.com/r/7LPnkdTFLN<https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fforms.off…> along with a consent form for further details. For every submission of the survey, $10 will be donated to LEAD-K (Language Equity and Acquisition for Deaf Kids), up to the first 50 submissions. The survey receives one submission per person. Once you agree to consent, you will be directed to the survey questions. It will take about 30 minutes to answer the questions, including your experience in machine learning and sign language computation (if any), understanding of sign language culture, and demographics such as your age or education level.  Your responses will be anonymous, unless you choose to provide your name and email address for future contact where you will be invited to participate in a paid study to collaborate with American Sign Language experts. Your name and email address will never be shared outside of the research team. Please complete the survey by Tuesday, 8/23 and feel free to forward this to other colleagues who may be interested! Thank you so much for your consideration! Rie Kamikubo, Danielle Bragg, Alex Lu, Hal Daumé III

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August 2022 Newsletter - LDC
by Penn LDC 18 Aug '22

18 Aug '22

In this newsletter: Fall 2022 LDC Data Scholarship Program 30th Anniversary Highlight: The LDC Gigawords ________________________________ New publication: HAVIC MED Novel 2 Test - Videos, Metadata and Annotation<https://catalog.ldc.upenn.edu/LDC2022V02> Fall 2022 LDC Data Scholarship Program Student applications for the Fall 2022 LDC Data Scholarship program are being accepted now through September 15, 2022. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. 30th Anniversary Highlight: The LDC Gigawords Giga: a combining form meaning "billion," used in the formation of compound words (Source: https://www.dictionary.com/browse/giga-) LDC's Gigaword corpora are a natural outgrowth of its vast decades-long multi-language newswire collection. Newswire data was originally collected, annotated, and distributed for use in many sponsored projects and was also released through the LDC catalog in tailored data sets. Then came the idea of making LDC's entire newswire collection available by language with a simple, minimal markup to support a broad range of NLP/HLT tasks. The first Arabic<https://catalog.ldc.upenn.edu/LDC2011T11>, Chinese<https://catalog.ldc.upenn.edu/LDC2011T13>, and English<https://catalog.ldc.upenn.edu/LDC2011T07> Gigaword editions were released in 2003; subsequent cumulative releases through fifth editions in 2011 represent LDC's newswire collection spanning 1994-2010 in those languages. French<https://catalog.ldc.upenn.edu/LDC2011T10> and Spanish<https://catalog.ldc.upenn.edu/LDC2011T12> Gigawords were first published in 2006, culminating in the release of third editions in 2011, likewise covering newswire collected by LDC through 2010. The community has used, and continues to use, these data sets in numerous ways. Automatic text summarization is a favorite, and current work in this area applies deep learning principles (see, e.g., Gao et al. 2020<https://link.springer.com/article/10.1007/s00521-018-3946-7>, English). Gigawords are also useful for text source classification (Huang et al. 2003<https://aclanthology.org/Y08-1042.pdf>, Chinese), information extraction (Lan et al. 2020<https://arxiv.org/pdf/2004.14519.pdf>, Arabic), knowledge extraction and distributional semantics (Napoles et al. 2012<https://aclanthology.org/W12-3018.pdf>, English), and natural language understanding (Ganitkevitch 2013<https://www.cs.jhu.edu/~juri/pdf/proposal-naacl-2013-srw.pdf>, English), among other fields. Recent variations like the annotated<https://catalog.ldc.upenn.edu/LDC2012T21> and concretely annotated<https://catalog.ldc.upenn.edu/LDC2018T20> English Gigawords add syntactic, semantic, and coreference annotations to this billion word text collection. All Gigaword corpora are available for licensing by Consortium members and non-members. Visit Obtaining Data <https://www.ldc.upenn.edu/language-resources/data/obtaining> for more information. ________________________________ New publication: HAVIC MED Novel 2 Test - Videos, Metadata and Annotation<https://catalog.ldc.upenn.edu/LDC2022V02> is comprised of 6,200 hours of user-generated videos with annotation and metadata developed by LDC for the 2015 NIST Multimedia Event Detection tasks. The data consists of videos of various events (event videos) and videos completely unrelated to events (background videos). Each event video was manually annotated with judgments describing its event properties and other salient features. Background videos were labeled with topic and genre categories. HAVIC MED Novel 2 Test -- Videos, Metadata and Annotation is distributed via web download. 2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. This corpus is a members-only release and is not available for non-member licensing. Contact ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> for information about membership. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Re: Corpora Digest, Vol 219, Issue 1
by Rocco Tripodi 18 Aug '22

18 Aug '22

Il giorno ven 12 ago 2022 alle 14:00 <corpora-request(a)list.elra.info> ha scritto: > Send Corpora mailing list submissions to > corpora(a)list.elra.info > > To subscribe or unsubscribe via email, send a message with subject or > body 'help' to > corpora-request(a)list.elra.info > > You can reach the person managing the list at > corpora-owner(a)list.elra.info > > When replying, please edit your Subject line so it is more specific > than "Re: Contents of Corpora digest..." > > Today's Topics: > > 1. [CfP] TREC Health Misinformation Track 2022 (Maria Maistro) > 2. [CfP] ACM TOIS Efficiency in Neural IR (Maria Maistro) > 3. Call for Badges - ACM SIGIR Artifact Badges Continuous Submission > (Nicola Ferro) > 4. Call for proposals: Natural Language Processing (John Benjamin’s) > (Caro) > > > ---------------------------------------------------------------------- > > Message: 1 > Date: Fri, 12 Aug 2022 08:03:18 +0000 > From: Maria Maistro <mm(a)di.ku.dk> > Subject: [Corpora-List] [CfP] TREC Health Misinformation Track 2022 > To: "corpora(a)list.elra.info" <corpora(a)list.elra.info> > Message-ID: <86B5F708-9063-456A-B790-888B9639E00F(a)ku.dk> > Content-Type: multipart/alternative; > boundary="_000_86B5F7089063456AB790888B9639E00Fkudk_" > > Call for Participation - TREC Health Misinformation Track 2022 > https://trec-health-misinfo.github.io > > Overview 🧐 > -------------------------- > Web search engines are frequently used to help people make decisions about > health-related issues. Unfortunately, the web is filled with misinformation > regarding the efficacy of treatments for health issues. Search users may > not be able to discern correct from incorrect information, nor credible > from non-credible sources. As a result of finding misinformation deemed by > the user to be useful to their decision making task, they can make > incorrect decisions that waste money and put their health at risk. > > The TREC Health Misinformation track fosters research on retrieval methods > that promote reliable and correct information over misinformation for > health-related decision making tasks. > > Tasks 💼 > -------------------------- > * Ad-hoc Retrieval Task: design a ranking model that promotes credible and > correct information over incorrect information; > * Answer Prediction Task: predict the answer to the topic’s stance. > > Guidelines 📋 we u guy > -------------------------- > * Corpus: noclean version of the C4 dataset ( > https://huggingface.co/datasets/allenai/c4); > * Topics: about consumer health search (people seeking health advice > online); > * Runs: runs may be either automatic or manual with the standard TREC run > format. > > Detailed guidelines: https://trec-health-misinfo.github.io > > Important Dates 🔥 > -------------------------- > * Runs due from participants: August 28, 2022 > * Evaluation results returned: End of September 2022 > * Notebook paper due: October 2022 > * TREC 2022 Conference: November 14-18, 2022 > * Final paper due: February 2023 > > Organization 👔 > -------------------------- > * Charles Clarke, University of Waterloo > * Maria Maistro, University of Copenhagen > * Mark Smucker, University of Waterloo > > > ——— > > Maria Maistro, PhD > Tenure-track Assistant Professor > Department of Computer Science > University of Copenhagen > Universitetsparken 5, 2100 Copenhagen, Denmark >

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Final CFP: The 7th Arabic Natural Language Processing Workshop, WANLP-7 2022, / Co-located with EMNLP 2022
by Wajdi Zaghouani 18 Aug '22

18 Aug '22

*** Apologies for Cross-Posting *** The 7th Arabic Natural Language Processing Workshop (WANLP2022) will be a full-day event taking place on December 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 applications: 1 year MRes in Translation and Interpreting Studies at University of Surrey
by Constantin Orasan 18 Aug '22

18 Aug '22

The Centre for Translation Studies (CTS) at University of Surrey invites applications for a place in our MRes in Translation and Interpreting Studies course. Students attending this course get in-depth, systematic research training in translation and interpreting, and customised preparation for a PhD and an academic career. This unique and innovative course is the first of its kind in the UK and draws on the research areas CTS is well known for: translation and interpreting technologies, translation process research, translation as intercultural mediation, corpus-based translation, audiovisual translation and multimodality studies. CTS has more recently embarked on exciting, fast-developing areas, including machine translation, Natural Language Processing for translation/interpreting and hybrid workflows in translation/interpreting. The research we carry out at CTS is in touch with recent technological and social developments, as we maintain a strong focus on the responsible integration of technologies in workflows where multilingual and multimodal mediation is key. By studying with us, you'll join our internationally recognised Centre for Translation Studies, thus benefiting from a combination of leading research expertise and professional relevance and honing skills you will need in order to thrive in academia or in the industry. As an MRes student, you will take two compulsory taught modules and select two optional modules (60 credits). You will then complete your degree with an MRes in Translation and Interpreting Studies Dissertation (120 credits). The dissertation, which is longer than a typical MA dissertation, will enable you to research a topic in greater depth than is the case in a conventional MA project format. This year, we invite in particular students interested in pursuing dissertation topics related to machine translation, corpora in translation and interpreting, and the use of NLP for translation and interpreting. For further inspiration, take a look at what our current students say about the course and their MA projects: https://www.surrey.ac.uk/student-life/what-our-students-say/zeynep-polat-po… And for more details about the programme or how to apply visit: https://www.surrey.ac.uk/postgraduate/translation-and-interpreting-studies-… If you feel that an MRes is not for you, you can check our other postgraduate courses on topics related to translation and interpreting at: https://www.surrey.ac.uk/centre-translation-studies/study/postgraduate-cour… --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies | School of Literature and Languages Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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Europhras’2022 / extended early bird registration until 9 September 2022
by Amal EL FARHMAT 18 Aug '22

18 Aug '22

*Europhras’2022* International Conference ‘*Computational and Corpus-based Phraseology’* Malaga, 28-30 September 2022 The forthcoming international conference ‘Computational and Corpus-based Phraseology’ (Europhras 2022) will take place in Malaga on 28, 29 and 30 September 2022. We are delighted to announce the new website of the conference : https://europhras.com/2022/ *Conference topics* The conference will focus on interdisciplinary approaches to phraseology and invited submissions on a wide range of topics, covering, but not limited to: computational, corpus-based, psycholinguistic and cognitive approaches to the study of phraseology, and practical applications in computational linguistics, translation, lexicography and language learning, teaching and assessment. These topics cover include the following: *Computational approaches to the study of multiword expressions*, e.g. automatic detection, classification and extraction of multiword expressions; automatic translation of multiword expressions; computational treatment of proper names; multiword expressions in NLP tasks and applications such as parsing, machine translation, text summarisation, term extraction, web search; *Corpus-based approaches to phraseology*, e.g. corpus-based empirical studies of phraseology, task-orientated typologies of phraseological units (e.g. for annotation, lexicographic representation, etc.), annotation schemes, applications in applied linguistics and more specifically translation, interpreting, lexicography, terminology, language learning, teaching and assessment (see also below); *Phraseology in mono- and bilingual lexicography and terminography*, e.g. new forms of presenting phraseological units in dictionaries and other lexical resources based on corpus-based and corpus-driven approaches; domain-specific terminology; *Phraseology in translation and cross-linguistic studies*, e.g. use parallel and comparable corpora for translating of phraseological units; phraseological units in computer-aided translation; study of phraseology across languages; *Phraseology in specialised languages and language dialects*, e.g. phraseology of specialised languages, study of phraseological use in different dialects or varieties of a specific language; *Phraseology in language learning, teaching and assessment*: e.g. second language/bilingual processing of phraseological units and formulaic language; phraseological units in learner language; *Theoretical and descriptive approaches to phraseology*, e.g. phraseological units and the lexis-grammar interface, the relevance of phraseology for theoretical models of grammar, the representation of phraseological units in constituency and dependency theories, phraseology and its interaction with semantics; *Cognitive and psycholinguistic approaches*: e.g. cognitive models of phraseological unit comprehension and production; on-line measures of phraseological unit processing (e.g. eye tracking, event-related potentials, self-paced reading); phraseology and language disorders; phraseology and text readability; The above list is indicative and not exhaustive. Any submission presenting a study related to the alternative terms of phraseological units, multiword expressions, multiword units, formulaic language or polylexical expressions, will be considered. The Springer volume and the e-proceedings will be both available at the conference. In addition, call for follow up papers will be announced after the conference and the accepted papers reporting these new studies will be published as peer-reviewed and/or indexed volume (in English). A collection of papers in Spanish will be published in an indexed journal (2023). *Schedule* 28-30 September 2022 - conference takes place in Malaga *Keynote Speakers* Jean-Pierre Colson, Université Catholique de Louvain Miloš Jakubíček, Lexical Computing María del Carmen Mellado Blanco, University of Santiago de Compostela Aline Villavicencio, Federal University of Rio Grande do Sul and University of Essex Conference and Programme Committee Co-Chairs Gloria Corpas Pastor, University of Malaga Ruslan Mitkov, University of Wolverhampton Programme committee Margarita María Alonso Ramos, University of A Coruña M. Belén Alvarado Ortega, University of Alicante Verginica Barbu Mititelu, Romanian Academy Ignacio Bosque, Complutense University of Madrid María Luisa Carrió-Pastor, Polytechnic University of Valencia Anna Čermáková, University of Cambridge Parthena Charalampidou, Aristotle University of Thessaloniki Ken Church, Baidu Jean-Pierre Colson, Université Catholique de Louvain Dmitrij Dobrovolskij, Russian Language Institute Peter Ďurčo, University of St. Cyril and Methodius Natalia Filatkina, University of Hamburg Elizaveta Goncharova, National Research University, Artificial Intelligence Research Institute (AIRI) María Isabel González Rey, University of Santiago de Compostela Stefan Gries, University of California Enrique Gutiérrez Rubio, Palacký University Olomouc Kleanthes K. Grohmann, University of Cyprus Amal Haddad Haddad, University of Granada Miloš Jakubíček, Sketch Engine Eva Lucía Jiménez-Navarro, University of Cordoba Cvetana Krstev, University of Belgrade Natalie Kübler, Université Paris Cité Maria Kunilovskaya, University of Wolverhampton Ljubica Leone, Lancaster University Óscar Loureda Lamas, Heidelberg University Elvira Manero Richard, University of Murcia Ramón Martí Solano, University of Limoges María del Carmen Mellado Blanco, University of Santiago de Compostela Flor Mena Martínez, University of Murcia Pedro Mogorrón Huerta, University of Alicante Johanna Monti, “L’Orientale” University of Naples Esteban Tomás Montoro del Arco, University of Granada Inés Olza Moreno, University of Navarra Adriane Orenha Ottaiano, São Paulo State University Antonio Pamies Bertrán, University of Granada Rozane Rebechi, Federal University of Rio Grande do Sul Mª Ángeles Recio Ariza, University of Salamanca Ute Römer, Georgia State University Leonor Ruiz Gurillo, University of Alicante Kathrin Steyer, University of Mannheim Joanna Szerszunowicz, University of Bialystok Yukio Tono, Tokyo University of Foreign Studies Agnès Tutin, University of Grenoble Alpes Tom Wasow, Stanford University Eric Wehrli, University of Geneva Stefanie Wulff, University of Florida Aline Villavicencio, Federal University of Rio Grande do Sul and University of Sheffield Michael Zock, Laboratoire d’Informatique Fondamentale de Marseille *Organisation and sponsors* The forthcoming international conference ‘Computational and Corpus-based Phraseology’ is jointly organised by the University of Malaga (Research Group in Lexicography and Translation), the University of Wolverhampton (Research Group in Computational Linguistics) and the Association for Computational Linguistics - Bulgaria. The Sketch Engine is the official sponsor of the conference. *Accompanying events* The 5th edition of the Workshop on Multiword Units in Machine Translation and Translation Technology (MUMTTT 2022) will take place as part of Europhras 2022. In addition, as part of Europhras 2022 a Sketch Engine tutorial will be given by Miloš Jakubíček, CEO, Lexical Computing. *Further information and contact details* Registration for EUROPHRAS 2022 is now open. To register, please complete the *registration form* <https://url6b.mailanyone.net/v1/?m=1nkNMi-0001pg-3h&i=57e1b682&c=wgKlKznP1z…> . *** The early bird registration has been extended until 9 September 2022 *** The conference website (https://europhras.com/2022/) will be updated on a regular basis. For further information, please email europhras2022(a)gmail.com Best regards, EUROPHRAS 2022 Organising Committee

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Invitation of paper submissions to special issue "Mathematical and Computational Modeling of Language and Social Behaviors” in Mathematics (IF=2.592, Q1)
by WAN, Mingyu [CBS] 18 Aug '22

18 Aug '22

Dear All, We are the guest editors of the special issue “Mathematical and Computational Modeling of Language and Social Behaviors” in Mathematics<https://www.mdpi.com/journal/mathematics> (IF=2.592, Q1). We would like to call for papers to the above special issue from people whose research interest include computational linguistics and the related areas. Deadline for manuscript submissions: 30 June 2023. The aim of the special issue is to highlight the contributions of quantitative modeling and NLP technology to understanding collective human behaviors and to help resolve some of the greatest challenges of our time. We welcome new or improved methods to model linked data from heterogeneous sources and their computational application to solve some real-world problems relating to languages and social behaviors. Topics of interest include such as Sentiment and/or Emotion Analysis, fake news detection, FinNLP and Medical Informatics. Check the details about the special issue through the link: https://www.mdpi.com/si/mathematics/Mathe_Compu_NLP We look forward to your submissions and contribution to this special issue. Thank you very much! Best, Clara (on behalf of the Guest Editors) [https://www.polyu.edu.hk/emaildisclaimer/85A-PolyU_Email_Signature.jpg] Disclaimer: This message (including any attachments) contains confidential information intended for a specific individual and purpose. If you are not the intended recipient, you should delete this message and notify the sender and The Hong Kong Polytechnic University (the University) immediately. Any disclosure, copying, or distribution of this message, or the taking of any action based on it, is strictly prohibited and may be unlawful. The University specifically denies any responsibility for the accuracy or quality of information obtained through University E-mail Facilities. Any views and opinions expressed are only those of the author(s) and do not necessarily represent those of the University and the University accepts no liability whatsoever for any losses or damages incurred or caused to any party as a result of the use of such information.

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Deadline extension: #SMM4H'22, Social Media Mining for Health Applications - Workshop at COLING 2022
by Davy Weissenbacher 18 Aug '22

18 Aug '22

Due to multiple requests, we are *extending* the deadline to August 20, 2022 ============================= Last call for paper: submission deadline August 20, 2022 ============================= *Apologies if you received multiple copies of this CFP* Location: Gyeongju, Republic of Korea Workshop Date: October 16-17, 2022 Workshop link: https://healthlanguageprocessing.org/smm4h-2022/ Submission link: https://www.softconf.com/coling2022/7thSMM4H/ The workshop will include two components — a standard workshop and a shared task Workshop The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index), invites 4-page paper (unlimited references in standard COLING format) submissions on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to: Methods for the automatic detection and extraction of health-related concept mentions in social media Mapping of health-related mentions in social media to standardized vocabularies Deriving health-related trends from social media Information retrieval methods for obtaining relevant social media data Geographic or demographic data inference from social media discourse Virus spread monitoring using social media Mining health-related discussions in social media Drug abuse and alcoholism incidence monitoring through social media Disease incidence studies using social media Sentinel event detection using social media Semantic methods in social media analysis Classifying health-related messages in social media Automatic analysis of social media messages for disease surveillance and patient education Methods for validation of social media-derived hypotheses and datasets Shared task The workshop organizers this year are hosting 10 shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated posts for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-2022/ Task 1 – Classification, detection, and normalization of Adverse Events (AE) mentions in tweets (in English) Task 2 – Classification of stance and premise in tweets about health mandates related to COVID-19 (in English) Task 3 – Classification of changes in medication treatments in tweets and WebMD reviews (in English) Task 4 – Classification of tweets self-reporting exact age (in English) Task 5 – Classification of tweets containing self-reported COVID-19 symptoms (in Spanish) Task 6 – Classification of tweets which indicate self-reported COVID-19 vaccination status (in English) Task 7 – Classification of self-reported intimate partner violence on Twitter (in English) Task 8 – Classification of self-reported chronic stress on Twitter (in English) Task 9 – Classification of Reddit posts self-reporting exact age (in English) Task 10 – Detection of disease mentions in tweets – SocialDisNER (in Spanish) Organizing Committee Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA Davy Weissenbacher, Cedars-Sinai Medical Center, USA Arjun Magge, University of Pennsylvania, USA Ari Z. Klein, University of Pennsylvania, USA Ivan Flores, Cedars-Sinai Medical Center, USA Karen O’Connor, University of Pennsylvania, USA Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland Lucia Schmidt, Roche Pharmaceuticals, Switzerland Juan M. Banda, Georgia State University, USA Abeed Sarker, Emory University, USA Yuting Guo, Emory University, USA Yao Ge, Emory University, USA Elena Tutubalina, Insilico Medicine, Hong Kong Luis Gasco, Barcelona Supercomputing Center, Spain Darryl Estrada, Barcelona Supercomputing Center, Spain Martin Krallinger, Barcelona Supercomputing Center, Spain Program Committee Cecilia Arighi, University of Delaware, USA Natalia Grabar, French National Center for Scientific Research, France Thierry Hamon, Paris-Nord University, France Antonio Jimeno Yepes, Royal Melbourne Institute of Technology, Australia Jin-Dong Kim, Database Center for Life Science, Japan Corrado Lanera, University of Padova, Italy Robert Leaman, US National Library of Medicine, USA Kirk Roberts, University of Texas Health Science Center at Houston, USA Yutaka Sasaki, Toyota Technological Institute, Japan Pierre Zweigenbaum, French National Center for Scientific Research, France Contact All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher(a)cshs.org)

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2024

2023

2022