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SMASH: 2-year postdoctoral fellowships available
by Matthew Purver 18 Jul '23

18 Jul '23

A number of 2-year fellowships are available for postdoc researchers. Define your own research programme & move to beautiful Slovenia! Please note that possible research areas include NLP topics, possible hosts include the NLP groups at U Ljubljana and JSI, and that associated placement partners include our NLP lab at Queen Mary University of London. See below for more detail: Dear colleagues, The second call for applications for SMASH postdoctoral Fellowships, co-funded by Marie Sklodowska Curie Actions, is now open! SMASH offers excellent research opportunities that revolve around machine learning and its applications to the fields of climate research, linguistics, precision medicine and fundamental physics. In this call, SMASH aims to hire 20 fellows who will be hosted in five Slovenian institutions. They can also spend up to 1/3 of their 2-years appointments at one of our international academic partners (including top EU centres like Gravitation and Astroparticle Physics at the University of Amsterdam, and world-leading institutions like CERN and UC Berkeley) or at some of the most successful Slovenian companies. Each 2-year fellowship offers excellent working conditions, access to top infrastructure (including the HPC Vega), substantial research and travel funds and a salary that is significantly higher than local costs of living. The SMASH program values an inclusive culture and believes diversity is the key to success, so SMASH warmly welcomes applicants from underrepresented groups. Note also that SMASH offers a dedicated allowance to support applicants with special needs. In order to apply, fellows need to contact their desired supervisor who will assist them in preparing short research proposals and provide them with the necessary letters of support from the host institutions. For more information see: https://smash.ung.si/become-a-fellow/. The application deadline is October 27th. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Monday-Wednesday; responses to mail on other days may be delayed.*

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SPELLL 2023- Call for papers-reg
by Bharathi Raja Asoka Chakravarthi 18 Jul '23

18 Jul '23

Apologies for cross posting , We are delighted to announce the Call for Papers for the upcoming Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2023), scheduled to be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil Nadu, India. The previous edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The proceedings of the first edition have been published in the Springer series: Communications in Computer and Information Science (CCIS). This proceedings can be accessed via https://link.springer.com/book/10.1007/978-3-031-33231-9. We would like to invite you to submit your research work and contribute to the success of the second edition, SPELLL 2023 <http://spelll.org/callforpapers.html>. SPELLL 2023 aims to bring together researchers, experts, and practitioners from diverse fields to foster intellectual discussions, exchange knowledge, and explore innovative solutions to the challenges of NLP. This interdisciplinary conference will provide a platform for participants to present their latest research findings, engage in vibrant discussions, and build valuable collaborations. Conference Link: http://spelll.org/ <http://spelll.org/committee.html>CALL FOR PAPERS This conference aims at bringing together researchers from across the world working on low-resourced and minority languages to create more speech and language technology for languages of the world. We invite submissions on topics that include, but are not limited to, the following: Track 1 - Language Resources (LRs) - Lexicons and machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Corpus development, tools, analysis and evaluation - Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data - Exploitation of LRs in systems and applications - Annotation, analysis, enrichment of text archives Track 2 - Language Technologies (LT) - Code-mixing - Cognitive modeling and psycholinguistics - Computer-assisted language learning (call) - Covid-19 alert, NLP applications for emergency situations and crisis management - Equality, diversity, and inclusion for language technology - Fake news, spam, and rumour detection - Hate speech detection and offensive language detection - Machine translation, sentiment analysis, and text summarization - Text and data mining for social sciences and humanities research - Text and data mining of (bio) medical literature, including pandemics - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis - Applications for language, data and knowledge - Question answering and semantic search - Text analytics on big data - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP Track 3 - Speech Technologies (ST) - Speech technology and automatic speech recognition - Spoken dialog systems and analysis of conversation - Spoken language processing — translation, information retrieval, summarization resources and evaluation - Speaker verification and identification - Multimodal/multimedia speaker recognition and diarization - Analysis of speech and audio signals - Speech coding and enhancement - Speech recognition - architecture, search, and linguistic components - Speech, voice, and hearing disorders - Speech synthesis and spoken language generation - Cross-lingual and multilingual components for speech recognition / code switching Track 4 - Other related topics - Analysis of para-linguistics in speech and language - Multimodal analysis - Visualisation of social sciences and humanities research ------------------------------ SUBMISSION GUIDELINES Regular Papers Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Regular papers may consist of 12 - 15 pages of content including references. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Short Papers SPELLL 2023 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - Experience notes Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Review Policy All submissions to SPELLL 2023 will be reviewed on the basis of originality, relevance, importance and clarity by at least two reviewers. The review process will be double blind and the authors should refer to themselves in third person when citing their own work. Phrases like "In our earlier work..." or "We previosuly showed that..." should be avoided when submitting the paper for review. *Author Guidelines* - Authors must follow the Springer LNCS formatting instructions. - For camera-ready papers use Latex or Word style <http://preview.springer.com/gp/computer-science/lncs/conference-proceedings…> provided on the authors' page for the preparation of papers. - The LaTeX Proceedings Template for scientific authoring platform in Overleaf. <https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…> - Each paper will receive at least three reviews. At least one author of each accepted paper must register by the early registration date indicated on the conference website and present the paper. ------------------------------ Important Dates Paper Submission Due: Aug 4, 2023 Acceptance Notification: *September 20, 2023.* Camera Ready Submission: *October 15, 2023.* Conference: *December 06-08, 2023.* PUBLICATION Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS). with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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Postdoc at the University of Pennsylvania
by Lyle ungar 17 Jul '23

17 Jul '23

We are seeking a postdoctoral researcher to contribute to an interdisciplinary project focused on enhancing the reasoning and analytical rigor in reports analyzing complex geopolitical situations. This work is part of IARPA's REASON <https://www.iarpa.gov/research-programs/reason> initiative, under which we've united an extensive international team of computer scientists and subject matter specialists. Our goal is to develop and evaluate systems that aid intelligence analysts, and researchers more broadly, in crafting superior analyses of complex scenarios. Our goal is to improve the quality of arguments. Are they sound and persuasive? Does the report draw on appropriate evidence? Are there overlooked elements that warrant inclusion? Have potential counterarguments been adequately tackled? This work will involve building higher-level reasoning structures that then call large language models as functions to do the detailed analyses. apply here <https://docs.google.com/forms/d/e/1FAIpQLSfSl0x3IkKqg49HdZQoC6fCaCxOTQ-Gihr…> Joint work Chris Calison-Burch, Mark Yatskar, Lyle Ungar and a large team. -- Prof. Lyle H. Ungar The University of Pennsylvania <http://wwwp.org/> https://www.cis.upenn.edu/~ungar <http://www.cis.upenn.edu/~ungar> https://www.wwbp.org

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July 2023 Newsletter - LDC
by Penn LDC 17 Jul '23

17 Jul '23

In this newsletter: LanguageArc featured in Babel magazine Fall 2023 LDC Data Scholarship Program New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> ________________________________ LanguageArc featured in Babel magazine The May 2023 edition of Babel<https://cloud.3dissue.com/18743/41457/106040/BabelNo43/index.html> (The Language Magazine) features an article about LDC's citizen science portal LanguageArc<https://languagearc.com/> (Language Analysis Research Community) and the diverse projects available there that utilize a variety of novel incentives to supplement traditional methods of creating data resources. Consider LanguageArc for your next collection project. Note: a subscription is necessary to view the article. Fall 2023 LDC Data Scholarship Program Student applications for the Fall 2023 LDC Data Scholarship program are being accepted now through September 15, 2023. 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>. ________________________________ New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> was developed by LDC and contains 9,600 hours of audio recordings of interviews, transcript readings, and conversational telephone speech involving 191 distinct native Spanish speakers. This material was collected by LDC in 2011-2012 as part of the Mixer project, and the recordings were used in the 2012 NIST SRE test set. Recruited speakers were connected through a robot operator to carry on casual conversations on a pre-set topic lasting up to 10 minutes. Participants also visited LDC's human subjects collection lab equipped with a 14-microphone array where they participated in interviews and transcript readings and conducted up to 3 telephone calls under varying conditions. Selected speaker metadata was also collected. 2023 members can access this corpus through their LDC accounts. 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. * LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> is comprised of over 39 million words of Thai monolingual text, 2.85 million words of found Thai-English parallel text, and 141,000 Thai words translated from English data. Over 186,000 words were annotated for named entities and more than 25,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.

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DHd2024 Final Call for Papers
by Haider, Thomas 17 Jul '23

17 Jul '23

Dear colleagues, This is the final call for papers for DHd2024 in Passau. The deadline is already in a few days on 19.07.2023. Important dates: 19.07.2023 Submission Deadline 02.11.2023 Notification of acceptance 04.12.2023 Submission of camera ready version 04.12.2023 Start of registration 15.02.2024 End of registration 26.02.2024 - 01.03.2024 Conference in Passau Website: https://dhd2024.dig-hum.de/ Call for Papers: https://dhd2024.dig-hum.de/call-for-papers/ (also in English) Conftool: https://www.conftool.net/dhd2024/ Links for submission (Convalidator): https://dhd2024.dig-hum.de/submission/ Paper Guidelines: https://dhd2024.dig-hum.de/guidelines/ If you already had a Conftool account for DHd2023 in Trier, your registration details are the same. Please check and update your details. Best regards Thomas Haider ---- Dr. phil. Thomas Nikolaus Haider Digital Humanities and Multilingual Computational Linguistics University of Passau

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Second Call for papers: The First Bangla Language Processing Workshop (BLP 2023) Co-located with EMNLP 2023 in Singapore
by Firoj Alam 17 Jul '23

17 Jul '23

***Apologies for Cross-Posting*** Second Call for Papers: The first BNLP workshop aims to provide a forum for the NLP, speech and multimodal communities to share and discuss their ongoing work with the international community. We particularly focus on Bangla, which is a low-resource language, and assess its current state-of-the-art and discuss strategies to make further progress in NLP, speech and multimodal research. Through this workshop, we plan to bring researchers together to come up with frameworks and strategies that can later support other low-resource languages. We encourage researchers to submit their papers focusing on novel methodologies and resources that help towards the progress of Bangla and other low resource languages. Novel methodologies include, but are not limited to, zero-shot learning, unsupervised learning, and simple yet effective methods applicable to low-computation scenarios. We invite original research papers from a wide range of topics, including but not limited to: Natural Language Processing: Corpus and Resource Development, Language Modeling, Stemmer, POS Tagger, Named Entity Recognition, Relation Extraction, Spell and Grammar Checker, Question Answering, Semantics, Text Summarization, Machine Translation, Sentiment Analysis. Speech Processing: Speech Synthesis and Spoken Language Generation, Speech Recognition, Phonetics, Phonology, and Prosody, Spoken Dialog and Conversational System, Speaker and Language Detection. Multimodality: OCR - Handwriting, Printed Document, Sign Language Detection. Human Computer Interaction: Software for Disabled People, Multimodal HCI for Bangla. Important dates: Workshop paper due: 1 September 2023 Notification of acceptance: 6 October 2023 Camera-ready papers due: 18 October 2023 Workshop dates: 6-7 December 2023 All deadlines are 11:59pm anywhere on Earth (AoE). Submission Details: Papers must describe original, completed or in-progress, and unpublished work. All papers will be refereed through a double-blind peer review process by multiple reviewers with final acceptance decisions made by the workshop organizers. Accepted papers will be given up to 9 pages (for full papers), 5 pages (for short papers and posters) in the workshop proceedings, and will be presented as oral paper or poster. We are seeking submissions under the following category - Full papers (8 pages) - Short papers (work in progress, innovative ideas/proposals: 4 pages) - Shared task paper (4 pages) Both long and short papers must follow the EMNLP 2023 two-column format, using the supplied official templates [1]. The templates can be downloaded in style files and formatting. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Verification to guarantee conformance to publication standards, we will be using the ACL pubcheck tool [2]. The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. Submissions are open to all, and are to be submitted anonymously. For the anonymity, double-blind submission and reproducibility criteria please follow the EMNLP 2023 instructions [3]. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please fill up this form <https://forms.gle/1WUYQjWT9UuqioX48> [4]. Submission portal: TBA Workshop Organizers: Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar Sudipta Kar, Amazon Alexa AI, USA Shammur Absar Chowdhury, Qatar Computing Research Institute, HBKU, Qatar Farig Sadeque, BRAC University, Bangladesh Ruhul Amin, Fordham University, USA [1] https://2023.emnlp.org/calls/style-and-formatting/ [2] https://github.com/acl-org/aclpubcheck [3] https://2023.emnlp.org/calls/main_conference_papers/ [4] https://forms.gle/1WUYQjWT9UuqioX48 The Organizers

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Six PhD students and one postdoc: Neurosymbolic Models of Language, Vision, and Action - Saarbrücken, Germany
by Alexander Koller 16 Jul '23

16 Jul '23

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 6 PhD students and 1 postdoc October 2023 or later Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (“Foundations”). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany. The positions are funded as follows: • PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications. • The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics Jörg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 May 2023 to bewerbung(a)uni-saarland.de. Include the reference number W2298 for the postdoc position and the reference number W2299 for the PhD positions. We aim to conduct job interviews in July (for a start in October) and September (for a later start). The legally binding version of this job ad is at https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (postdoc) and https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (PhD), respectively. For details on what materials to submit with your application and all other information about the RTG, please see our website: https://www.neuroexplicit.org/jobs/#phd-2023

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[Deadline extension] PHRAME closing event - Perugia, 27/28.11.2023
by Luciana Forti 15 Jul '23

15 Jul '23

PHRAME: Phraseological complexity measures in learner Italian. Integrating eye tracking, computational and learner corpus methods to develop second language pedagogical resources Closing event Perugia, 27-28 November 2023 SECOND CALL FOR PAPERS We invite contributions including, but not limited to, the following areas of research: - Corpus-based approaches in the study of L2 phraseology - Psycholinguistic approaches in the study of L2 phraseology - Computational and NLP approaches in the study of L2 phraseology - Complexity theory and second language acquisition studies - Mixed-methods approaches in the study of L2 phraseology - Syllabus design for the development of phraseological competence - Testing and assessing L2 phraseological competence Keynote speakers of the event will be: - Philip Durrant (University of Exeter) - Gabriele Pallotti (University of Modena and Reggio Emilia) - Anna Siyanova-Chanturia (University of Wellington and Ocean University of China) Guidelines - The event will be in-person only, with live-streaming. - Paper proposals may refer to languages other than Italian. - The abstracts for full paper presentations should be written in English. They should not exceed 500 words, references included. The abstract should be sent to progettophrame(a)gmail.com in a Word document containing the following information: - Title of the proposed presentation - Name of the author(s) - Affiliation of the author(s) - The presented papers will be collected and published. - Registration for in-person participation will open on 4th September and close on 10th November 2023. - The official languages of the event are Italian and English. Important dates 16 July 2023 31 July 2023: Abstract submission closes. 30 August 2023: Abstract reviews assigned. 17 September 2023: Abstract reviews completed. 22 September 2023: Notification to authors. 10 November 2023: Registration for in-person participation closes. 27-28 November 2023: PHRAME closing event. Any questions regarding the call for papers and the event may be directed to progettophrame(a)gmail.com. Scientific and organising Committee: Giulio Biondi, Veronica D’Alesio, Irene Fioravanti, Luciana Forti, Valentina Franzoni, Sabine Koesters Gensini, Francesca La Russa, Francesca Malagnini, Alfredo Milani, Maria Roccaforte, Valentino Santucci, Stefania Spina, Fabio Zanda. References - Altenberg, B. (1998). On the phraseology of spoken English: The evidence of recurrent word-combinations. In A. P. Cowie (Ed.), Phraseology: Theory, analysis and applications (pp. 101–122). Oxford University Press. - Paquot, M. (2018). Phraseological Competence: A Missing Component in University Entrance Language Tests? Insights From a Study of EFL Learners’ Use of Statistical Collocations. Language Assessment Quarterly, 1–15. - Sinclair, J. M. (1991). Corpus, Concordance, Collocation. Oxford University Press. - Siyanova-Chanturia, A., & Pellicer-Sánchez, A. (2019). Understanding Formulaic Language A Second Language Acquisition Perspective. Routledge. Web page of the event: PHRAME: Phraseological complexity Measures in learner Italian (Closing event) | | | | | | | | | | | PHRAME: Phraseological complexity Measures in learner Italian (Closing e... Second Call for Papers We invite contributions including, but not limited to, the following areas of research: C... | | |

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Call for Participation: Challenge on Medical Video Question Answering at TRECVID 2023
by Deepak Gupta 15 Jul '23

15 Jul '23

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TRECVID 2023 <https://www-nlpir.nist.gov/projects/tv2023/index.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating the medical instructional questions from the video segments. Following the success of the 1st MedVidQA shared task <https://aclanthology.org/2022.bionlp-1.25/>, MedVidQA at TRECVID 2023 expanded the tasks and introduced a new track considering language-video understanding and generation. This track is comprised of two main tasks Video Corpus Visual Answer Localization (VCVAL) and Medical Instructional Question Generation (MIQG). For more details, please visit the challenge website ( https://medvidqa.github.io/) and TRECVID 2023 website ( https://www-nlpir.nist.gov/projects/tv2023/index.html). The link for submission: - Task 1 (VCVAL): https://codalab.lisn.upsaclay.fr/competitions/13445 <https://codalab.lisn.upsaclay.fr/competitions/13546> - Task 2 (MIQG): https://codalab.lisn.upsaclay.fr/competitions/13546 *Important Dates* - *Release of the training and validation datasets:* April 30, 2023 - *Release of the video corpus:* May 12, 2023 - *Release of the test sets:* July 14, 2023 - *Run submission deadline:* August 4, 2023 - *Release of the official results:* September 29, 2023 We look forward to your participation in MedVidQA at TRECVID 2023. Join our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> for important updates! If you have any questions, ask in our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2023 Organizers

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Linguamática V15N1 is available!
by Hugo Gonçalo Oliveira 14 Jul '23

14 Jul '23

---------------------------------------------------------------------- Linguamática Volume 15, Número 1 1647-0818 --- http://www.linguamatica.com ---------------------------------------------------------------------- ** Artigos relacionados com a DIP: Desafio de Identificação de Personagens ** Diana Santos, Cristina Mota, Emanoel Pires, Marcia Langfeldt, Rebeca Schumacher Fuão, Roberto Willrich. DIP - Desafio de Identificação de Personagens: objectivo, organização, recursos e resultados https://linguamatica.com/index.php/linguamatica/article/view/399/492 Eckhard Bick. Extração de Informação sobre Personagens Literários em Português https://linguamatica.com/index.php/linguamatica/article/view/397/490 Diana Santos, Cristina Mota. Pais, filhos e outras relações familiares no DIP https://linguamatica.com/index.php/linguamatica/article/view/402/493 Emanoel Pires, Marcia Caetano Langfeldt, Rebeca Schumacher Fuão. Desafios e vantagens do processo de identificação automática do gênero e das profissões das personagens no DIP https://linguamatica.com/index.php/linguamatica/article/view/401/491 Roberto Willrich, Diana Santos. Avaliação no Desafio de Identificação de Personagens https://linguamatica.com/index.php/linguamatica/article/view/398/494 ** Artigos de Investigação / Artículos de Investigación / Research Articles ** David Soares Batista. Extracção de Relações de Apoio e Oposição em Títulos de Notícias de Política em Português https://linguamatica.com/index.php/linguamatica/article/view/386/495 Cássio Faria da Silva, Vânia Paula de Almeida Neris, Helena de Medeiros Caseli. Classificação da qualidade da argumentação em tweets no domínio da política brasileira https://linguamatica.com/index.php/linguamatica/article/view/387/496 ** Novas Perspectivas / Nuevas Perspectivas / New Perspectives ** Átila Augusto Soares Vital. A compilação e a análise de métricas textuais de um corpus de redações https://linguamatica.com/index.php/linguamatica/article/view/393/497

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