- Corpora - ELRA lists

Job: Research Assistant/ML Engineer
by Mihael Arcan 28 Sep '22

28 Sep '22

** *Applications are invited from suitably qualified candidates for a full-time, fixed term position as a Research Assistant with the Unit for Natural Language Processing (NLP) at the Data Science Institute, University of Galway. * * Project Background: **Candidates for this position should have an MSc or equivalent in a relevant field of study with an emphasis on areas such as machine learning and/or natural language processing. The candidate should have good programming skills in python (preferably experience with pytorch). The position is for a fixed period of 6 months with the possibility of extension, depending on the successful acquisition of project funding. **This positionis available in the context of the Insight SFI Research Centre for Data Analytics from November 1st2022 (or as soon as possible). The post is available in the context of a commercialisation project on language pattern detection for mental health issues. Essential Requirements: * MSc in Natural Language Processing or Computer Science * Relevant experience with natural language processing, machine and deep learning * Experience in classification task, including multiclass, multilabel, multiclass-multioutputclassification * Understanding of experimental design and scientific methodologies * Excellent programming skills in Python * Programming experience with deep learning (e.g. pytorch, transformers) Desirable Requirements: * Experience in data processing in health domain * Evidence of previously completed software projects, e.g. in github ** ** Employment permit restrictions apply for this category of the post. Salary: €27,380 – €36,786 per annum, (commensurate with qualifications and experience) To Apply: Applications, including a cover letter and CV in PDF and the contact details of three referees should be sent to Dr Mihael Arcan (mihael.arcan(a)insight-centre.org) *Closing date for receipt of applications is 5.00 pm 14th October 2022* *

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Where do you publish the datasets you create?
by Surangika Ranathunga 28 Sep '22

28 Sep '22

Dear Community NLP community usually quantifies the 'resourcefulness' of a language based on the datasets (annotated/unannotated) available in public repositories. However, our recent analysis on the LREC 2022 papers revealed that most of the datasets have not been published in these public repositories. In order to identify reasons for this, we created the below survey. Please spend 2mins responding to this survey. It is anonymous and raw data will NOT be published. The aggregated results will be published at an xCL venue. We hope our findings would be beneficial to the wider NLP community. Survey: https://forms.gle/nQbEBtUhEPxx2tux9 We will be collecting responses till Oct 8th. Regards Surangika Surangika Ranathunga, PhD Senior Lecturer, Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa surangika(a)cse.mrt.ac.lk

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2 PhD Positions in Clinical NLP and Decision Support at DFKI, Berlin
by Roland Roller 28 Sep '22

28 Sep '22

The Speech and Language Technology group of the German Research Center for Artificial Intelligence (DFKI), offers two research/PhD positions in clinical text processing and clinical decision support. The position is located in Berlin and would be in close collaboration with colleagues at DFKI, but also partially with clinical partners. Position 1: Clinical text processing Your tasks: The candidate will work within our team on topics related to (neural) information extraction, concept normalization and medical guideline matching. A PhD could be developed within the scope of the given tasks, but could address problems such as cross-domain/cross-language learning, few shot learning, knowledge integration or generation of synthetic (patient) data. This research brings the opportunity to test, interdisciplinary, novel technologies for medical care. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Good knowledge of and preferably hands-on experience with natural language technologies (tools and libraries) - Experience with python - Experience in machine learning (e.g. Pytorch, Spacy, Transformers…) - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Position 2: Clinical decision support: Your tasks: The candidate will work within our team on the development of machine learning models integrating longitudinal, semi-structured data, to support physicians and clinical staff. The field would be in the intersection of machine learning, natural language processing and explainability and would include interdisciplinary work. A PhD could be defined/developed within the scope of the given tasks. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Experience with python - Experience in machine learning or neural networks (e.g. Pytorch, SPacy, Transformers,...) - Preferably hands-on experience with medical data - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Successful applicants will be employed according to their qualifications. We offer excellent working conditions with interesting research topics in an interdisciplinary team at an internationally renowned research centre. The position is initially limited to the duration of the underlying project (until mid/end 2025). Severely disabled applicants with essentially the same professional and personal suitability will be given priority. The DFKI intends to increase the proportion of women in the science sector and therefore explicitly invites women to apply. We look forward to receiving your application documents. Please send them in electronic form to Roland Roller (roland.roller(a)dfki.de) and Philippe Thomas (philippe.thomas(a)dfki.de). Deadline: October 14. Applicants who submit their documents after the deadline may also be considered - depending on whether the position has already been filled.

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FIRST CALL FOR TASK PARTICIPATION: NTCIR-17 FairWeb-1 Task
by Nicola Ferro 28 Sep '22

28 Sep '22

http://sakailab.com/fairweb1/ # Overview The FairWeb-1 task is a new English web search task that considers both relevance and group fairness. Each of our search topic seeks information about specific entity types: R (researher), M (movies), T (Twitter accounts), and Y (YouTube contents); accordingly, we have four topic types: R-topics (e.g., information retrieval researchers) M-topics (e.g., Daniel Craig 007 movies) T-topics (e.g., Twitter accounts that provide info on COVID) Y-topics (e.g., Coldplay covers on YouTube) For evaluating group fairness, we consider the following attribute sets containing either ordinal or nominal groups: R-topics: h-index (ordinal) AND gender (nominal) M-topics: #reviews on IMDb (ordinal) AND geographic region (nominal) T-topics: #followers (ordinal) Y-topics: #subscribers of the YouTube account (ordinal) For R- and M-topics, we will evaluate intersectional groupfairness. For example, for each R-topic, we want the search engine result page (SERP) to contain information about researchers with varying levels of h-index (not just high h-index people), AND with different genders (not just "men"). # Task input/ouput INPUT: - a search topic (R, M, T, or Y) - attribute set(s) and target distribution(s) OUTPUT: - a TREC-style run (a SERP for each topic) # Evaluation method We will use the Group Fairness and Relevance (GFR) framework: please visit our webpage for details. # Timeline October 7, 2022 Release of 1st CFP with sample topics and evaluation protocol December 16, 2022 Pilot relevance assessments for the sample topics and a few pilot runs released; topic set size determined Dec 19-Feb 28, 2023 Topic development March 1, 2023 Topics released; task registrations due May 12, 2023 Run submissions due May 15-July 31, 2023 Entity annotations; runs evaluated August 1, 2023 Evaluation results and draft overview released September 1, 2023 Draft participant papers due November 1, 2023 Camera ready papers due December 2023 NTCIR-17@NII, Tokyo, Japan # Inquiries: fairweb1org(a)list.waseda.jp # Organisers: Sijie Tao, Nuo Chen, Tetsuya Sakai (Waseda University, Japan) Zhumin Chu (Tsinghua University, P.R.C.) Nicola Ferro (University of Padua, Italy) Maria Maistro (University of Copenhagen, Denmark) Ian Soboroff (NIST, USA) Hiromi Arai (RIKEN AIP, Japan)

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EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE
by Marco Polignano 27 Sep '22

27 Sep '22

* ***************************************************************************** EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE ***************************************************************************** EVALITA 2023is an initiative of AILC(Associazione Italiana di Linguistica Computazionale, AILC https://www.ai-lc.it/ <https://www.ai-lc.it/>). The final workshop will be held on **September 7th-8th in Parma, Italy**. As in the previous editions (https://www.evalita.it/ <https://www.evalita.it/>), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of Natural Language Processing and Speech for Italian. The participation is encouraged for teams working both in academic institutions and industrial organizations. TASK PROPOSAL SUBMISSION Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. In submitting your proposal, please bear in mind that we encourage: - challenging tasks involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by different levels of complexity, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - multilingual tasks, i.e. with data both in Italian and in other languages; - industrial tasks, i.e. tasks with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). *** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 17th 2022. *** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. NEW deadlines of the task proposal: - October 4th 2022 October 17th 2022: submission of task proposals - October 18th 2022 October 24th 2022: notification of task proposal acceptance NEW timeline of EVALITA 2023: - 7th February 2023: development data available to participants - 30th April 2023: registration closes - 2nd-19th May 2023: evaluation windows - 30th May 2023: assessment returned to participants - 14th June 2023: final reports (from participants) due to task organizers - 28th June 2023: final reports (from task organizers) due to EVALITA chairs - 10th July 2023: review deadline - 25th July 2023: camera ready version deadline - 7th-8th September 2023: final workshop in Parma EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR) *

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PhD position on hate speech and misinformation on social media, at the University of Tartu, Estonia
by Rajesh Sharma 27 Sep '22

27 Sep '22

Hello Everyone, I hope this email finds you well and sorry for cross-posting. Computational Social Science group (in the University of Tartu, Estonia) has a PhD position related to hate speech and misinformation on online social media. Please feel free to spread among your contacts. Deadline: 30 September. Please contact me before 30 Sept, as I will assist you in the application process (we need CV, motivation letter). We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898>

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PhD position on mental health at the University of Tartu
by Rajesh Sharma 27 Sep '22

27 Sep '22

I hope this email finds you well and sorry for cross-posting. Computational Social Science has a PhD position on the topic related to mental health. Please feel free to spread among your contacts. We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898> ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en&utm_medium=web&utm_sour…> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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PhD position in Conversational AI / Multilingual NLP - University of Groningen (NL)
by Bisazza, A. 27 Sep '22

27 Sep '22

We are looking for a PhD candidate in the areas of Natural Language Processing (NLP), Conversational AI and Multilingual NLP. Application Deadline: 2 October 2022 Job description: This 4-year salaried PhD position is embedded in the project “Low-Resource Chat-based Conversational Intelligence (LESSEN <http://lessen-project.nl/>), funded by the Dutch Research Council (NWO). The project’s consortium brings together a diverse set of academic researchers and industrial stakeholders aimed at developing safe and transparent chat-based conversational AI agents, based on state-of-the-art neural architectures. In this context, the selected PhD candidate will work on multilinguality-related challenges and opportunities, with the goal of improving conversational agents under data scarcity conditions. Besides enabling knowledge sharing among high- and low-resource languages and language variants, the project aims at empowering chatbots to handle code-switching utterances, which are common in many communities. Qualifications: We are looking for a motivated and enthusiastic student with a Master degree in computational linguistics, artificial intelligence, computer science, information science, or related areas. Machine learning skills are mandatory; experience with training and/or designing neural networks for language processing tasks is strongly desired; experience in conversational systems is a plus. Furthermore, an excellent knowledge of English and good academic writing skills are essential. Organisation: The PhD candidate will be based at the Centre for Language and Cognition of the University of Groningen (CLCG) and will collaborate with other researchers from the Lessen project. The research will be carried out in the context of the Computational Linguistics group ( https://www.rug.nl/research/clcg/research/cl/) of the CLCG research institute. Application Deadline: 2 October 2022 Start date: 1 January 2023 Find all details and apply here: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… For questions you can contact: Dr A. Bisazza, a.bisazza(a)rug.nl Please do NOT use the e-mail address above for applications. Please first check if your question is already answered at the application link <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> . -- Arianna Bisazza Assistant Professor University of Groningen http://www.cs.rug.nl/~bisazza

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Call for Participation: FEL XXVI Albuquerque 02-04 November 2022
by Steven Krauwer 27 Sep '22

27 Sep '22

Registration is now open for the 26th Annual Conference of the Foundation for Endangered Languages, to be held at the University of New Mexico, Albuquerque, New Mexico, 02-04 November 2022. The theme of this year’s conference is: Community ownership of language education for endangered language revitalization Invited speakers: Joel Isaak, Kenaitze Indian Trip, Kenai, Alaska “Teaching Dena'ina Literacy Through Culture” Melvatha Chee, University of New Mexico, Albuquerque, New Mexico “The Documentation of Indigenous Child speech and Child-Directed Speech” Conference web page here: https://www.ogmios.org/conferences/2022/index.php Register for the conference here: https://vonweber.nl/fel/registration_form.html Registration for the conference is required for both in-person and online attendance. In-person registration will close October 15, 2022. Remote registration will remain open throughout the conference. Local organizers Siri Tuttle and Wafa Hozien of Navajo Technical University will welcome participants on a first-day trip out of the city to Crownpoint, New Mexico, the home of Navajo Tech. To join this field trip, and to participate in a special conference dinner, registrants may sign up using this Google form: https://forms.gle/D7Mb8cCgHCV4ZKJp8 The costs of both events are included in the conference registration fee. -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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Fwd: Abstract deadline extension - 1st International Multimodal Communication Symposium (MMSYM)
by Multimodal Communication Symposium 27 Sep '22

27 Sep '22

Dear colleagues, On behalf of the organizing committee for the *1st International Multimodal Communication Symposium (MMSYM)*, we hope this message finds you well. We are writing to inform you that the* abstract submission deadline* has been extended until *October 7th*. Please find the Call for Papers below. ______________________________________ *Third Call for Papers: 1st International Multimodal Communication Symposium 2023* ***With apologies for multiple postings*** We are delighted to announce that the *1st International Multimodal Communication Symposium (MMSYM 2023)*, which will take place in Barcelona in April 2023 (27th-28th), has just issued a Call for Papers. The abstract submissions are now open. *Call for Papers: MMSYM 2023* *1st International Multimodal Communication Symposium, April 27-28 2023, Barcelona* The *1st International Multimodal Communication Symposium (**MMSYM 2023)* will be held from Thursday 27th to Friday 28th April 2023 at Universitat Pompeu Fabra in Barcelona, Catalonia. *MMSYM 2023* follows up on a tradition established by the Swedish Symposia on Multimodal Communication held from 1997 until 2000, and continued by the Nordic Symposia on Multimodal Communication held from 2003 to 2012. Since 2013, the symposium has acquired a broader European dimension, with editions held in Malta (2013), Tartu (2014), Dublin (2015), Copenhagen (2016), Bielefeld (2017), and Leuven (2019). To acknowledge its international ambition, this year, the symposium in Barcelona has updated its name to *1st International Multimodal Communication Symposium*. The symposium is locally organized at Universitat Pompeu Fabra with the support of the research groups collaborating within the GEHM network (GEstures and Head Movements in Language, https://cst.ku.dk/english/projects/gestures-and-head-movements-in-language-…), whose goal is to foster research into the way hand gestures and head movements interact with speech in face-to-face and human-computer multimodal communication. We welcome works aimed at exploring different approaches to multimodal communication, including research on multimodality in human communication and/or in human-computer interaction. In addition, this year’s symposium has a particular interest in three main research themes: 1) the language-specific characteristics of gesture-speech interaction 2) multimodal prominence 3) the conceptual and statistical modelling of multimodal contributions, with particular regard to head movements and the use of gaze. Therefore, we particularly encourage contributions dealing with––but not limited to––the three topics described above. The symposium will feature *keynote talks* by three confirmed invited speakers: - *Alan Cienki*, Professor of Language Use & Cognition and English Linguistics, Vrije Universiteit Amsterdam. Website: https://research.vu.nl/en/persons/alan-cienki - *Jelena Krivokapić*, Associate Professor in Linguistics, University of Michigan. Website: https://sites.lsa.umich.edu/jelenakrivokapic/ - *Catherine Pelachaud*, Director of Research, Institute of Intelligent Systems and Robotics, Campus Pierre et Marie Curie, Sorbonne Université. Website: https://www.isir.upmc.fr/personnel/pelachaud/ *Abstract submission guidelines* 1) Abstracts should be written in English and should not exceed 2 A4 pages (max. 700 words) including examples, figures and references. The format should comply with the MS Word model provided *here*: https://docs.google.com/document/d/1Eyi9laqglihk7OmfFWv8QsEd1jqzYjIi/edit?r… 2) Add at least three keywords to your submission. 3) Abstracts should be *anonymous* and submitted in pdf format. All references to authors should be omitted for purposes of blind review. 4) Authors may submit one abstract as first author and up to three abstracts as a co-author. Please use our *EasyChair* website for abstract submissions: https://easychair.org/conferences/?conf=mmsym2023 Abstracts received after the deadline will not be considered. Accepted abstracts will be allocated as either oral talk or poster presentation, and will be published in the book of abstracts. *Abstract submission*: October 7, 2022 *Notification of acceptance*: approximately December 15, 2022 For more information, please visit the symposium website at http://mmsym.org/ If you have any questions, do not hesitate to contact us at mmsym2023(a)gmail.com *Local organizing committee:* Pilar Prieto (coordinator) Florence Baills Júlia Florit-Pons Celia Gorba Sara Muñoz Mariia Pronina Patrick Rohrer Ïo Valls Ingrid Vilà-Giménez Xiaotong Xi Ting Yao Yuan Zhang *Program committee:* Patrizia Paggio (coordinator, University of Copenhagen) Jens Edlund (KTH Royal Institute of Technology, Stockholm) Marianne Gullberg (Lund University) David House (KTH Royal Institute of Technology, Stockholm) Maria Koutsombogera (Trinity College Dublin) Pilar Prieto (ICREA-Universitat Pompeu Fabra) Carl Vogel (Trinity College Dublin) Margaret Zellers (Kiel University) ------------------------------------------------ Please feel free to share the call with your colleagues/networks. Best wishes, -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023>

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2024

2023

2022