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ML/NLP PostDoc position on empathic virtual assistant at Grenoble Alps University, France
by François Portet 26 Aug '22

26 Aug '22

*PostDoc position at Grenoble Alps University, France* *Summary* The Grenoble Alps University offers a PostDoc position for a highly motivated candidate to be working on the multi-disciplinary research project THERADIA, which aims to create an empathic virtual assistant that accompanies cognitively impaired patients during remediation exercises at home. The successful candidate will have the exciting opportunity to develop new machine learning techniques for the robust detection of affective and cognitive behaviours from newly collected audiovisual data. Models will be incorporated into the virtual agent to tailor the interaction with the patient, using specific interaction scenarios, and these models will be evaluated and fine-tuned in a clinical trial to demonstrate the effectiveness of the agent in supporting patients suffering from cognitive conditions during digital therapies. If successful, the system will be operated nationally and the cognitive remediation sessions will be covered by social security. *Duration*: 2 years, *Salary*: according to experience (up to 4142€ / month) *Envisaged starting date*: November 2022 *Scientific environment* The person recruited will be hosted within the GETALP team of the Laboratoire d’Informatique de Grenoble (LIG), which offers a dynamic, international, and stimulating framework for conducting high-level multi-disciplinary research. The GETALP team is housed in a modern building (IMAG) located on a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by Times Higher Education magazine in 2018. *Requirements* The ideal candidate must have a PhD degree and a strong background in machine learning, and affective computing or cognitive science/neuroscience. The successful candidate should have: · Excellent knowledge of machine learning techniques · Good knowledge of speech and/or image processing · Good knowledge of experimental design and statistics · Strong programming skills in Python · Excellent publication record · Willing to work in multi-disciplinary and international teams · Good communication skills *Application* Applications are expected to be received on an ongoing basis and the position will be open until filled. Applications should be sent to Fabien Ringeval (fabien.ringeval(a)imag.fr) and François Portet (francois.portet(a)imag.fr). The application file should contain: · Curriculum vitae · Recommendation letter · One-page summary of research background and interests · At least three publications demonstrating expertise in the aforementioned areas · Pre-defence reports and defence minutes; or summary of the thesis with date of defence for those currently in doctoral studies

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Extended deadline CfP Third workshop on Resources for African Indigenous Language (RAIL)
by Menno Van Zaanen 26 Aug '22

26 Aug '22

Due to several requests, we have extended the submission deadline to 4 September 2022 Final call for papers Third workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2022 The South African Centre for Digital Language Resources (SADiLaR) is organising the 3rd RAIL workshop in the field of Resources for African Indigenous Languages. This workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. This provides an overview of the current state-of-the-art and emphasizes availability of African indigenous language resources, including both data and tools. Additionally, it will allow for information sharing among researchers interested in African indigenous languages and also start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally quite different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. The RAIL workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. It aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as tools, specifically designed for or applied to indigenous languages found in Africa. Suggested topics include the following: * Digital representations of linguistic structures * Descriptions of corpora or other data sets of African indigenous languages * Building resources for (under resourced) African indigenous languages * Developing and using African indigenous languages in the digital age * Effectiveness of digital technologies for the development of African indigenous languages * Revealing unknown or unpublished existing resources for African indigenous languages * Developing desired resources for African indigenous languages * Improving quality, availability and accessibility of African indigenous language resources The 3rd RAIL workshop 2022 will be co-located with the 10th Southern African Microlinguistics Workshop (https://sites.google.com/nwulettere.co.za/samwop-10/home). This will be an in-person event located in Potchefstroom, South Africa. Registration will be free. RAIL 2022 submission requirements: * RAIL asks for full papers from 4 pages to 8 pages (plus more pages for references if needed), which must strictly follow the Journal of the Digital Humanities Association of Southern Africa style guide (https://upjournals.up.ac.za/index.php/dhasa/libraryFiles/downloadPublic/30 ). * Accepted submissions will be published in JDHASA, the Journal of the Digital Humanities Association of Southern Africa (https://upjournals.up.ac.za/index.php/dhasa/). * Papers will be double blind peer-reviewed and must be submitted through EasyChair (https://easychair.org/my/conference?conf=rail2022). Important dates Submission deadline: 4 September 2022 Date of notification: 30 September 2022 Camera ready copy deadline: 23 October 2022 RAIL: 30 November 2022, North-West University - Potchefstroom SAMWOP: 1 – 3 December 2022, North-West University - Potchefstroom Organising Committee Jessica Mabaso Rooweither Mabuya Muzi Matfunjwa Mmasibidi Setaka Menno van Zaanen South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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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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