September 2023 - Corpora

[Final CfP] [Deadline Extended] Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023
by Tirthankar Ghosal 06 Sep '23

06 Sep '23

*** Second Workshop on Information Extraction from Scientific Publications ( WIESP) at IJCNLP-AACL 2023 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ *** *** Twitter: https://twitter.com/wiesp_nlp *** Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second Workshop on Information Extraction from Scientific Publications (WIESP) will provide a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques. A lot of technological change happened in one year (since the 1st WIESP), especially with Generative Artificial Intelligence research. We are incorporating a few additional topics to stay abreast with the latest developments and research in the community. The 2nd iteration of WIESP would focus on the following topics (but not limited to): - Large Language Models (LLMs) for Science - Application of LLMs on information extraction, generation, mining and knowledge discovery from scientific publications - Probing LLMs for scientific fact checking and misinformation - 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 In addition to research paper presentations, WIESP will also feature keynote talks, a panel discussion on “Large Language Models and Scientific Literature Mining'', and shared tasks. 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. We strongly encourage the participation of students, researchers, and science practitioners from diverse backgrounds, especially from underrepresented groups and communities, to be a part of WIESP events, and pro-actively make the workshop a diverse and inclusive one. ****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. In addition to papers, WIESP will also host shared tasks. More details on the WIESP shared tasks will be available on our website shortly. Also, we will publish separate CfPs on the shared tasks. Shared task authors will be invited to write their system descriptions and those will be subjected to peer review. ***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)*** The citation graph is an essential tool for helping researchers find relevant literature. To further empower discovery, we aim to label the edges of the graph with the function of the citation: e.g. is the cited work necessary background knowledge, or is it used as a comparison, to the citing work? To start this process, we propose a shared task of automatically labelling citations with a function based on the textual context of the citation. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks *All accepted papers would be published in the WIESP proceedings as part of IJCNLP-AACL 2023 and indexed in the ACL Anthology.* ***Important Dates*** - Paper Submission Deadline: *September 11, 2023 (final extended deadline)* - Notification of workshop paper/abstract acceptance: October 5, 2023 - Camera-ready Submission Deadline: October 12, 2023 - Workshop: November 1, 2023 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ****Submission Website and Format**** Submission Link: https://softconf.com/ijcnlp2023/WorkshopWIESP2023/ 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. We follow the same policies as IJCNLP-AACL 2023 regarding anonymity, preprints and double submissions. ***Organizers*** - Tirthankar Ghosal, National Center for Computational Sciences| Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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FOIS 2023 Online: Call for Participation
by Selja Seppälä 06 Sep '23

06 Sep '23

===== Call for Participation to online FOIS 2023 conference, showcases and demos ===== Program: https://fois2023.griis.ca/online-conference/ Registration: https://event.fourwaves.com/fr/fois2023/inscription (free registration for students) ==================================================================================== 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), September 18-20, 2023 (Online) Definition and scope ==================== The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. Program ==================== Monday September, 18th EDT (UTC -4) CEST (UTC +2) 08:15-08:30 14:15-14:30 FOIS online Welcome Zoom 08:30-10:30 14:30-16:30 Session 1: Foundational concepts (Chair: Laure Vieu) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 Ontology showcases and demos gather.town Tuesday September, 19th 08:30-09:00 14:30-15:00 Invited talks special session (TBC) Zoom 09:00-10:30 15:00-16:30 Session 2: Methodological issues (TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 ESAO panel Zoom Wednesday September, 20th 09:00-10:30 15:00-16:30 Session 3: Domain ontologies (TBA) Zoom 10:30-11:00 16:30-17:00 Coffee break gather.town 11:00-12:00 17:00-18:00 IAOA General Assembly Zoom 12:00-12:15 18:00-18:15 Closing Zoom Details: https://fois2023.griis.ca/onlinesession/ Registration fees ==================== Online presenter: 500 CAN / 340 EUR Listener - regular fee (academia or industry): 100 CAN / 70 EUR Listener - reduced fee (student or participant from less developed contry): free More information: https://fois2023.griis.ca/registration/ Conference Organization ======================= General Chair: Antony Galton, University of Exeter, UK PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France Torsten Hahmann, University of Maine, USA Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France Workshop and Tutorial Chairs: Megan Katsumi, University of Toronto, Canada Emilio Sanfilippo, ISTC-CNR, Trento, Italy Early Career Chairs: Antoine Zimmermann, École des Mines de Saint-Étienne (EMSE), France Guendalina Righetti, Free University Bozen/Bolzano, Italy Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK Tiago Prince Sales, University of Twente, Netherlands Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany Selja Seppälä, University College Cork, Ireland Proceedings Chair: Maria Hedblom, Jönköping University, Sweden Program committee: https://fois2023.griis.ca/conference-organization/

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CFP, the 8th Biomedical Linked Annotation Hackathon (BLAH8)
by Jin-Dong Kim 05 Sep '23

05 Sep '23

The 8th Biomedical Linked Annotation Hackathon (BLAH8) 15 - 19 January, 2024 Kashiwa, Chiba, Japan https://blah8.linkedannotation.org/ Submission due of project proposals : 20 Oct., 2023 INTRODUCTION BLAH (Biomedical Linked Annotation Hackathon) represents a series of annual hackathon events, specifically designed to foster open collaboration. The goal is to achieve a breakthrough in the sharing and linking of various resources for biomedical literature annotation and mining. By enhancing the interoperability of these resources, the initiative aims to substantially increase both the productivity and the impact within the community. Within the scope of BLAH, the term "resources" encompasses a wide range of elements including corpora, annotation datasets, databases, language models, software tools, web services, terminologies, ontologies, graphical representations, movies, and more. The aspiration of BLAH is to create connections between all these resources, allowing them to interoperate seamlessly. We believe this integration will foster a more cohesive and effective environment for all stakeholders. Unfortunately, the pandemic led to a temporary halt in the organization of BLAH events. However, with the world gradually reopening, BLAH is excited to announce its return with the 8th edition (BLAH8). In recognition of the era of Large Language Models (LLMs), BLAH8 will center around a special theme: "Biomedical Annotations in the Age of LLMs." This theme represents a contemporary focus for the community and signals a commitment to staying at the forefront of technological advancements in the biomedical field. Through BLAH8, we aspire to explore the potential synergy between LLMs and literature annotations, diving deep into various facets of biomedical applications. CALL FOR PROJECT PROPOSALS We invite submission of project proposals from those who are interested in contributing biomedical literature annotation with their literature annotation resources, and expertise, particularly this year with a connection to LLMs. We invite projects which can be accomplished during the hackathon. The type of contribution may include, but not restricted to - Integration of annotation resources - Evaluation of annotation resources - Application of annotation resources - ... Submission due of project proposals is 20 Oct., 2023 TRAVEL SUPPORT Those who submit project proposals are eligible to apply for travel support. See the homepage for detailed information. PUBLICATION Immediately after BLAH8, participants will be invited to submit papers, e. g., report of the hackathon outputs, to either of the two venues: - Genomics & Informatics : an open access journal, which is indexed by PubMed. All the papers of the journal will be immediately included in the PMC open access subset. - BioHackrxiv : a preprint server, which is powered by OSF preprints and indexed by EuropeanPMC. PROGRAM COMMITTEE - Jin-Dong Kim (DBCLS, ROIS-DS) - Fabio Rinaldi (IDSIA) - Lars Juhl Jensen (Univ. Copenhagen) - Zhiyong Lu (NCBI, NLM)

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2nd CFP: EACL 2024
by sungho.jeon＠h-its.org 05 Sep '23

05 Sep '23

- Event Notification Type: Call for Papers - Abbreviated Title: [CFP 2nd] EACL 2024 - Location: Hotel Radisson Blu, St. Julians Sunday, 17 March 2024 to Friday, 22 March 2024 - Country: Malta - Contact Email: michael.strube(a)h-its.org YGRAHAM(a)tcd.ie m.purver(a)qmul.ac.uk - Contact: Michael Strube Yvette Graham Matthew Purver - Website: https://2024.eacl.org/ - Submission Deadline: Sunday, 15 October 2023 ============================ * Second Call for Papers: EACL 2024 The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) invites the submission of long and short papers on substantial, original, and unpublished research on Natural Language Processing. EACL 2024 will be held at the Hotel Radisson Blu, St. Julians, in Malta on 17th-22nd March 2024, with online attendance possible. Papers must be submitted to EACL 2024 via the ACL Rolling Review (ARR) system. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. * Important Dates - Anonymity period begins: Friday, 15 September 2023 - Paper submission deadline (via ARR): Sunday, 15 October 2023 - Author response period: Friday-Tuesday, 8-12 December 2023 - Paper commitment deadline: Sunday, 20 December 2023 - Notification of acceptance: (long & short papers): Monday, 15 January 2024 - Withdrawal deadline (long & short papers): Monday, 22 January 2024 - Camera-ready papers due (long & short papers): Wednesday, 31 January 2024 - Workshops & Tutorials: Sunday; Thu-Fri, 17 & 21-22 March 2024 - Main Conference: Monday-Wed, 18-20 March 2024 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). ============================ * Paper Submission Information * Topics of Interest EACL 2024 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Efficient/Low-resource methods in NLP - Ethics and NLP - Generation - Information Retrieval and Text Mining - Information Extraction - Interpretability and Model Analysis in NLP - Language Grounding to Vision, Robotics and Beyond - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilinguality and Language Diversity - NLP Applications - Phonology, Morphology, and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical - Semantics: Sentence-level Semantics, Textual Inference and other areas - Sentiment Analysis, Stylistic Analysis and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing * Long Papers Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. * Short Papers Short paper submissions 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. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. * Findings of the ACL Papers submitted to EACL 2024, but not selected for the main conference, will also automatically be considered for publication in the Findings of the Association of Computational Linguistics. Acceptance notifications for the main track and Findings will come out simultaneously. * Presentation Mode Long and short papers will be presented orally or as posters, as determined by the programme committee based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and as posters. Papers accepted to the Findings of the ACL may present a poster. * Presentation Requirements All accepted papers must be presented at the conference—either online or in-person—in order to appear in the proceedings. Authors of papers accepted for presentation at EACL 2024 must notify the program chairs by the withdrawal deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for EACL 2024 by the early registration deadline. * Paper Submission and Anonymity Following standard ACL and ARR policy, submitted papers must be prepared for two-way anonymized review, and no deanonymized preprint may be posted in the month prior to submission. Please see the ARR CfP for more detail. https://aclrollingreview.org/cfp * Policies on Authorship, Citation and Ethics EACL 2024 follows the ARR policies on authorship, citation and comparison and ethics - please see the ARR CfP. * Multiple Submission Policy EACL 2024 follows the ARR policy on multiple submission: we will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the review period. See the ARR CfP for more detail. Please note that the EACL 2024 submission deadline is currently timed to come after EMNLP 2023 decisions have been announced, and that EACL 2024 acceptance decisions will be announced before the likely submission deadline for ACL 2024, although after that for NAACL 2024. * Mandatory Discussion of Limitations We believe that it is also important to discuss the limitations of your work, in addition to its strengths. Following EACL 2023, EACL 2024 requires all papers to have a clear discussion of limitations, in a dedicated section titled “Limitations”. This section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Papers without a limitations section will be automatically rejected without review. Papers resubmitted from previous ARR review rounds that did not include a limitations section must ensure that such a section is included in the EACL 2024 version. While we are open to different types of limitations, just mentioning that a set of results have been shown for English only probably does not reflect what we expect. Mentioning that the method works mostly for languages with limited morphology, like English, is a much better alternative. In addition, limitations such as low scalability to long text, the requirement of large GPU resources, or other things that inspire further investigation are welcome.

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Google DeepMind PhD Scholarship
by Mirella Lapata 05 Sep '23

05 Sep '23

The School of Informatics, University of Edinburgh, is thrilled to announce a PhD scholarship funded by Google DeepMind. The scholarship covers tuition fees (at the Home/International tuition fee rate), provides an annual stipend of £18,622 per annum (for 3.5 years full time study) and provides a research training and support grant. The student will be supervised by Dr. Mirella Lapata and will also benefit from mentoring from DeepMind staff during their period of study.  Applicants would be expected to work on a topic drawn from the following research areas: - multimodal natural language understanding and generation - long-form and retrieval-augmented text generation - multilingual generation Applicants wishing to apply for the scholarship should meet one OR both of the following criteria: - are resident of a country and/or region underrepresented in AI; - identify as women including cis and trans people and non-binary or gender fluid people who identify in a significant way as women or female; - and/or identify as Black or other minority ethnicity. The successful candidate will have a good honours degree or equivalent in artificial intelligence, computer science, machine learning, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. They will have strong programming skills and previous experience in natural language processing. If you have further questions, please contact Dr. Mirella Lapata: mlap(a)inf.ed.ac.uk. To apply, please follow the instructions at: http://www.inf.ed.ac.uk/postgraduate/apply.html As your research area, please select "Informatics: ILCC: Language Processing, Speech Technology, Information Retrieval, Cognition". On the application form under "Research Project", please state "DeepMind Scholarship". IMPORTANT: After submitting your application through the website, please email your applicant number to mlap(a)inf.ed.ac.uk. Application deadline: 24 November 2023 received after the deadline may be considered, but this cannot be guaranteed].

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CFP North Africans in Machine Learning Affinity Workshop at NeurIPS 2023
by saad benjelloun 05 Sep '23

05 Sep '23

Call for Papers: North Africans in Machine Learning Affinity Workshop at NeurIPS 2023! We are thrilled to announce the Call for Papers for the North Africans in Machine Learning Affinity Workshop, which will be held at NeurIPS 2023. This is your chance to share your groundbreaking research, insights, and discoveries with a vibrant community of peers in the field of Machine Learning. Whether you're a junior researcher or a seasoned expert, and of North African origins. if you have a passion for advancing the theory and applications of ML, we want to hear from you! Why submit your paper? - Showcase your work on a prestigious stage. - Gain valuable feedback from experts in the ML community. - Connect with like-minded professionals from North African institutions and beyond. - Contribute to the collective knowledge of the ML field. 📜 Submission Guidelines: - Papers related to all aspects of Machine Learning are welcome. - Submissions from North Africans are encouraged. - The workshop is open to academia and industry professionals. 🔗 Submission Link and Deadlines: https://lnkd.in/eSKVv2H5 🏆 Awards and Recognition: Outstanding contributions will be recognized, and selected papers may have the opportunity to be featured prominently during the workshop. Join us in making the North Africans in Machine Learning Affinity Workshop at NeurIPS 2023 a resounding success! Submit your paper, share your insights, and be part of this exciting journey in advancing the field of Machine Learning. Stay tuned for more updates and mark your calendars for NeurIPS 2023! Let's shape the future of ML together.

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CFP SYMPTEMIST (BioCreative VIII @ AMIA 2023): Named entity recognition & linking of symptoms (incl. multilingual dataset)
by Martin Krallinger 05 Sep '23

05 Sep '23

(Apologies for cross-posting) CFP: SYMPTEMIST Shared Task (BioCreative VIII run with AMIA 2023) Named entity recognition and linking of symptoms, signs & findings (incl. multilingual dataset) https://temu.bsc.es/SYMPTEMIST/ <https://temu.bsc.es/distemist/> The SYMPTEMIST track focuses on the automatic detection of mentions of clinical symptoms (NER) and mapping to concept identifiers in clinical case reports in Spanish (entity linking). Also a multilingual version of the dataset will be released including versions in English, French, Italian, Dutch, Portuguese, Romanian and Swedish. Key information: - Web: https://temu.bsc.es/symptemist - Data: <https://doi.org/10.5281/zenodo.6408476> https://zenodo.org/record/8223654 - Annotation guidelines: https://zenodo.org/record/8246440 - BioCreative web: https://biocreative.bioinformatics.udel.edu - Registration form (Track 2- SYMPTEMIST): <https://temu.bsc.es/distemist/registration/> https://docs.google.com/forms/d/e/1FAIpQLScoSNulOoxRju3c8v9Q-CSv-w5jJcXu93G… Motivation Systems able to detect and normalize clinical symptom mentions from medical texts are crucial for almost any healthcare data mining, AI, medical analytics or predictive application. As opposed to other clinical information types, such as diagnoses (diseases/procedures), lab test results or even medications, clinical symptoms can only be recovered directly from written clinical narratives. Due to the high complexity, variability and difficulty in generating annotated corpora for clinical symptoms, only few large manually annotated data collections have been constructed so far, with certain underlying limitations in terms of a) entity linking / normalization of the symptom mentions to controlled vocabularies and b) a lack of attempts to promote the development of multilingual solutions and b) provide detailed annotation criteria and guidelines. To address these issues, we have posed the SYMPTEMIST track at the upcoming BioCreative VIII initiative, which will be run in the context of the prestigious AMIA 2023 conference, which received over 1400 submissions this year. Automatic detection of symptoms mentions are key for a range of clinical use cases and real world applications like: - Predictive modeling of diseases - Differential diagnosis of complex diseases - Rare disease characterization & analysis - Selection of appropriate treatment & therapy - Study of disease-symptom associations - Early detection of disease outbreaks & epidemiological surveillance - Extraction of phenotypes - Drug repurposing & off label indications The SYMPTEMIST organizers will also release multilingual resources to foster the development of multilingual tools and generate systems not only for Spanish but also for content in English and Romance languages (French, Portuguese, Italian, Romanian and Catalan) as well as versions in Dutch, Swedish and Czech. Inspired by previous initiatives (e.g. n2c2, CLEF or TREC) and shared tasks (CANTEMIST, PharmaCoNER, or CodiEsp), we are launching the SYMPTEMIST shared task as part of the BioCreative 2023 evaluation initiative, with the following three sub-tracks: - SYMPTEMIST-entities: automatic detection of mentions of symptoms. - SYMPTEMIST-linking: finding mentions of symptoms and normalizing them to their Snomed-CT concept identifiers. - SYMPTEMIST-multilingual: automatic detection of mentions of symptoms in versions of the corpus generated in English, French, Italian, Portuguese, Romanian, Catalan, Dutch, Swedish and Czech. Tentative schedule - Annotation Guidelines: August 8th 2023 - Train Set Subtask 1 (NER): August 8th, 2023 - Train Set Subtask 2 (Linking): September 10th 2023 - Train Set Subtask 3 (Multilingual): September 10th 2023 - SympTEMIST Test Set: September 30th 2023 - Participants Test Predictions Deadline: October 5th 2023 - Participants Evaluation Results Release. October 10th 2023 - Submission of Participant Papers Deadline: October 22nd 2023 - Notification of Acceptance Participant Papers: October 30 2023 - Submission of Camera-ready Participant Papers Deadline. November 1st 2023 - BioCreative VIII workshop @ AMIA 2023: November 11-15, 2023, In New Orleans, LA. BioCreative proceedings and AMIA workshop Teams participating in SYMPTEMIST will be invited to contribute a systems description paper for the BioCreative 2023 Working Notes proceedings and a flash presentation of their approach at the BioCreative 2023 session. The BioCreative VIII workshop will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. See: https://amia.org/education-events/amia-2023-annual-symposium Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. All BioCreative VIII tracks Track 1: BioRED (Biomedical Relation Extraction Dataset) *Track 2: SYMPTEMIST (Symptom TExt Mining Shared Task) Track 3: Genetic Phenotype Extraction and Normalization from Dysmorphology Physical Examination Entries Track 4: Clinical Annotation Tool Track Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain - Luis Gascó, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Jan Rodriguez, Barcelona Supercomputing Center, Spain ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ =======================================

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Professor (m/f/d) (W3) of Natural Language Processing at the University of Technology Nuremberg
by gregor.faltl＠utn.de 05 Sep '23

05 Sep '23

We are innovating university! Interdisciplinary, international and digital – these are the pillars of the University of Technology Nuremberg. The aim is to combine and interlink engineering science with other topics of society. Besides the outlined interdisciplinary approach, the university will put its emphasis on courses in English, on digital learning as well as future-oriented research. In the medium term, the university is to provide a place for learning and personal development for up to 6,000 students – on a campus combining research, learning, and living. The project is currently one of the most important higher education projects of the Free State of Bavaria (Germany). The University of Technology Nuremberg is looking to fill, at the earliest possible date, a position as a Professor (m/f/d) (W3) of Natural Language Processing at the Department of Engineering. You represent the subject Natural Language Processing in research and teaching. You will play a key role in establishing the first main research area of the Department, which will focus on "Robotics and Artificial Intelligence". Here you will collaborate, among others, with excellent international researchers from the fields of Robotics, Machine Learning, Data Science and Computer Vision. The interdisciplinary collaboration with humanities scholars and social and natural scientists at the Department of Liberal Arts and Sciences, within the topics of “Human and Artificial Intelligence” and “Rhetoric and Political Communication” is a further goal. To find the complete advertisement follow this link: https://www.utn.de/en/career/professorships/

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CoCo4MT 2023 @ MT Summit Deadline Extended to July 16th!
by John Ortega 04 Sep '23

04 Sep '23

CoCo4MT is extended its deadline for paper submission to July 16th! The Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) @MT-SUMMIT XIX The 19th Machine Translation Summit Sep 4-8, 2023, Macau SAR, China https://sites.google.com/view/coco4mt SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT is a workshop centered around research that focuses on manual and automatic corpus creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any language (including sign language) but we are specifically interested in those submissions that explicitly report on work with languages with limited existing resources (low-resource languages). Since techniques from high-resource languages are generally statistical in nature and could be used as generic solutions for any language, we welcome submissions on high-resource languages also. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that the methods presented at this workshop will lead to the development of high-quality corpora that will in turn lead to high-performing MT systems and new dataset creation for multiple corpora. We hope that submissions will provide high-quality corpora that are available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. Topics of interest include: - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SHARED TASK To encourage research on corpus construction for low-resource machine translation, we introduce a shared task focused on identifying high-quality instances that should be translated into a target low-resource language. Participants are provided access to multi-way corpora in the high-resource languages of English, Spanish, German, Korean, and Indonesian, and using these, are required to identify beneficial instances, that when translated into the low-resource languages of Cebuano, Gujarati, and Burmese, lead to high-performing MT systems. More details on data, evaluation and submission can be found on the website (https://sites.google.com/view/coco4mt/shared-task) or by emailing coco4mt-shared-task(a)googlegroups.com. SUBMISSION INFORMATION CoCo4MT will accept research, review, or position papers. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official MT Summit 2023 style templates (https://www.overleaf.com/latex/templates/mt-summit-2023-template/knrrcnxhkq…). Accepted papers will be published in the MT Summit 2023 proceedings which are included in the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be made to the workshop using the Softconf conference management system (https://softconf.com/mtsummit2023/CoCo4MT). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES May 18, 2023 - Call for papers released May 19, 2023 - Shared task release of train, dev and test data May 25, 2023 - Shared task release of baselines June 5, 2023 - Second call for papers June 20, 2023 - Third and final call for papers July 16, 2023 - Paper submissions due July 16, 2023 - Shared task deadline to submit results July 27, 2023 - Notification of acceptance July 27, 2023 - Shared task system description papers due August 03, 2023 - Camera-ready due September 4-5, 2023 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizers: coco4mt-2023-organizers(a)googlegroups.com CoCo4MT Shared Task Organizers: coco4mt-shared-task(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Ananya Ganesh University of Colorado Boulder Constantine Lignos Brandeis University John E. Ortega Northeastern University Jonne Sälevä Brandeis University Katharina Kann University of Colorado Boulder Marine Carpuat University of Maryland Rodolfo Zevallos Universitat Pompeu Fabra Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Anna Currey Amazon Amirhossein Tebbifakhr University of Trento Atul Kr. Ojha National University of Ireland Galway Ayush Singh Northeastern University Barrow Haddow University of Edinburgh Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Constantine Lignos Brandeis University Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleftheria Briakou University of Maryland Eleni Metheniti Université Toulosse - Paul Sabatier Jasper Kyle Catapang University of Birmingham John E. Ortega Northeastern University Jonne Sälevä Brandeis University Kalika Bali Microsoft Katharina Kann University of Colorado Boulder Kochiro Watanabe The University of Tokyo Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Marine Carpuat University of Maryland Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Patrick Simianer Lilt Rico Sennrich University of Zurich Rodolfo Zevallos Universitat Pompeu Fabra Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Shiran Dudy Northeastern University Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xing Niu Amazon Xu Weijia University of Maryland

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Free training event: 22 September - Business and Professional Communication
by Brezina, Vaclav 04 Sep '23

04 Sep '23

Dear all, We are organising a free training event (online and in person): Language Data Analysis for Business and Professional Communication. It will take place on 22 September 2023 10:00 - 15:30 UK time. More details and registration: https://www.lancaster.ac.uk/events/language-data-analysis-for-business-and-… The ESRC Centre for Corpus Approaches to Social Science, Lancaster University offers a practical training workshop focused on computational analysis of language data for businesses and professional organisations and anyone interested in communication in professional contexts. The data includes social media, newspapers, business reports, marketing materials and other data sources. The workshop will introduce a new software tool #LancsBox X<https://lancsbox.lancs.ac.uk/> developed at Lancaster University, which can analyse and visualise large amounts of language data (millions and billions of words). Practical examples of uses of #LancsBox X (case studies) will be provided. Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D9DF47.CD8CA940]@vaclavbrezina [cid:image002.png@01D9DF47.CD8CA940]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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