- Corpora - ELRA lists

Fw: Patrick Hanks' Funeral 23rd February
by Eric Atwell 12 Feb '24

12 Feb '24

I am very sad to relay the death of Patrick Wynham Hanks, lexicographer and corpus linguist. https://www.patrickwhanks.com/ Patrick's funeral will be in Havant, UK, on Friday 23 February, 15:15. and online: https://www.wesleymedia.co.uk/webcast-view Webcast Viewing Instructions are available here<https://clientportal.wesleymedia.co.uk/email-template/webcast_viewing_instr…>. Use the PIN number below to access your webcast Webcast Login PIN 590-4304 If you can come in person, please RSVP: Judith_hanks(a)hotmail.com<mailto:Judith_hanks@hotmail.com> Eric Atwell, pp Judith Hanks, University of Leeds

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1st CFP: The First Annual Meeting of SIGTURK at ACL, August 15-16 2024, Bangkok
by Duygu Ataman 12 Feb '24

12 Feb '24

FIRST CALL FOR PAPERS --------------------- The First Annual Meeting of the Special Interest Group on Turkic Languages (SIGTURK) August 15-16 2024, Bangkok (Co-located with ACL) INTRODUCTION We present the first edition of the SIGTURK Workshop representing the annual meeting of the ACL Special Interest Group on Turkic Languages, which aims to provide a new venue that will promote studies on computational linguistics in Turkic languages. Our main objective is to bring together an interdisciplinary community of researchers working on different aspects of natural language processing (NLP) models and corpora in Turkic languages, providing the recently growing number of researchers working on the topic with a means of communication and an opportunity to present their work and exchange ideas. TOPICS OF INTEREST We welcome submissions on, but not limited to, the following topics: * Computational linguistics: models of all aspects of linguistics in Turkic languages (e.g., semantics, syntax, lexicon, morphology) * Systems: Case studies on the construction of NLP systems for Turkic languages * Evaluation: Understanding the applicability of current NLP methods in Turkic languages * Metrics: New metrics and measures for evaluating NLP systems suitable to Turkic languages * Learning from sparse data: Novel methods for learning from small or sparse data in Turkic languages * Resources: Datasets, benchmarks, and software libraries for NLP models in Turkic languages IMPORTANT DATES * First call for papers: February 9, 2024 (Friday) * Paper submission deadline: May 31, 2024 (Friday) * Notification of acceptance: June 16, 2024 (Monday) * Camera-ready submission deadline: July 1, 2024 (Monday) * Workshop dates: August 15-16 (Thursday - Friday) Note: All deadlines are 11:59 pm UTC -12h (“anywhere on Earth”). CONTACT INFORMATION * Email: workshop(a)sigturk.com * Submission Portal: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SIGTURK * Official Website: https://sigturk.com/workshop SUBMISSION GUIDELINES Research papers We invite all potential participants to submit their novel research contributions in the related fields as long papers following the ACL 2024 long paper format (anonymized with 8 pages excluding the references, and an additional page for the camera-ready versions for the accepted papers). All accepted research papers will be published as part of our workshop proceedings and will be presented either through oral presentations or poster sessions. Our research paper track will accept submissions through our own submission system available at https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SIGTURK. Extended abstracts Besides long paper submissions, we also invite previously published or ongoing and incomplete research contributions to our non-archival extended abstract track. All extended abstracts can use the same EMNLP template with a 2-page limit, excluding the bibliography. Extended abstracts can be submitted to the workshop submission system using the link: https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/SIGTURK. "HACK TOGETHER" PROGRAMMING EVENT In addition to the workshop itself, the second day will be devoted to a full-day collaborative hybrid programming event "Hack Together". Our goal is to demonstrate the SIGTURK NLP library and interested parties can contribute to the integration of new NLP methods and models into the SIGTURK pipeline. The SIGTURK infrastructure can be found at https://github.com/sigturk. Findings of the event will be combined into a system demonstration paper. INVITED SPEAKERS Kemal Oflazer, Carnegie Mellon University MORE INFORMATION For further details and updates, please visit our workshop website: https://sigturk.com/workshop ORGANIZERS Duygu Ataman, New York University Deniz Zeyrek Bozşahin, Middle East Technical University Mehmet Oguz Derin Sardana Ivanova, University of Helsinki Abdullatif Köksal, LMU Munich Jonne Sälevä, Brandeis University

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2nd CFP: Bridging Neurons and Symbols for NLP & Knowledge Graphs Reasoning @ LREC-COLING 2024
by Erhard Hinrichs 12 Feb '24

12 Feb '24

[apologies for potential cross-posting] ================================================================================================== Workshop: Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning @ LREC-COLING 2024 ===================================== Co-located with LREC-COLING in Turin, Italy 21st May 2024 Workshop webpage:https://neusymbridge.github.io/ Call for Papers -------------------- The 1st Workshop on Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning — to be held at LREC-COLING 2024 — will promote two directions for exploring neural reasoning: starting from existing neural networks to enhance the reasoning performance with the target of symbolic-level reasoning, and starting from symbolic reasoning to explore its novel neural implementation. These two directions will ideally meet somewhere in the middle and will lead to representations that can act as a bridge for novel neural computing, which qualitatively differs from traditional neural networks, and for novel symbolic computing, which inherits the good features of neural computing. Hence the name of our workshop, with a focus on Natural Language Processing and Knowledge Graph reasoning. Topics (include, but are not limited to) -------------------------------------------------- • Proposing novel knowledge representations that are derived from transdisciplinary research • Using knowledge graphs or other types of symbolic Knowledge to improve the quality of LLMs • Exploring the reasoning mechanism of LLMs • Distilling symbolic knowledge from LLMs • Proposing benchmark datasets and evaluation matrices for neuro-symbolic approaches to NLP tasks • Proposing novel NLP tasks for neuro-symbolic approaches • NLP applications in classification, sense-disambiguation, sentiment analysis, question-answering, knowledge graph reasoning • Critical analysis of traditional deep learning or LLMs • Analysing spatial reasoning of LLMs • Proposing novel neural computing that may reach symbolic-level reasoning • Proposing benchmark datasets and matrices to evaluate the gap between neural reasoning and symbolic reasoning • Addressing efficiency issues in neuro-symbolic systems • Identifying challenges and opportunities of neuro-symbolic systems • Developing retrieval augmented models for combining KG and LLMs • Applying neuro-symbolic approaches to humor generation and other real-life applications Submissions: ------------------ • The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of LREC-COLING conference (https://lrec-coling-2024.org/authors-kit/) • Submissions via Softconf/START Conference Manager athttps://softconf.com/lrec-coling2024/neusymbridge2024/ Important Dates --------------------- • Submission Deadline: March 03, 2024 • Notification of Acceptance: March 27, 2024 • Submission of final, camera-ready paper (latex version preferred): April 03, 2024 • Workshop: May 21st

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Nineteenth century World English corpora/other resources
by claire.etty＠oup.com 12 Feb '24

12 Feb '24

Hello all, Does anyone know of any World English corpora (or other resources) for the nineteenth century? I'm looking for anything other than standard British/American English from this period, as we're hoping to enhance the historical depth of our WE coverage. Many thanks! Claire

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PhD positions in Designing Responsible NLP at U Edinburgh
by Ivan Titov 12 Feb '24

12 Feb '24

*Four-year funded PhD studentships in Designing Responsible Natural Language Processing at the University of Edinburgh* The UKRI AI Centre for Doctoral Training (CDT) in Responsible and Trustworthy in-the-world Natural Language Processing (NLP) is inviting applications for fully-funded PhD studentships starting in September 2024 for our new Designing Responsible NLP integrated PhD training programme. Natural Language Processing (NLP) is an area of AI operating at the intersections of computer science, linguistics, and interaction design that has rapidly jumped from the research lab to routine deployment in-the-world. Mature NLP systems offer powerful capabilities to create new products, services, and interactive experiences grounded in natural language, and underpin much of the current excitement around generative AI. However, they also bring significant challenges to responsible and trustworthy design, adoption and deployment. Our students will gain the skills, knowledge and experience to study and design real-world applications of NLP that are responsible and trustworthy by design, in a highly interdisciplinary training environment hosted by the new Edinburgh Futures Institute. The training programme brings together world leading researchers at the University of Edinburgh in informatics, design, linguistics, speech science, psychology, law, philosophy, information science, and digital humanities, who will supervise students and guide them in their training and learning. The CDT will be seeking to fund up to 12 studentships to start next academic year. We are looking for applicants with background in or related to: • Computer science, informatics and artificial intelligence • Design, human computer interaction and human centred computing • Language, linguistics and speech sciences • Law, governance and regulation • Digital Humanities and Information Science These are just indicative, and we are interested in applicants who come from any background or discipline with relevant skills and expertise that connect to our five Training Areas. Our ambition is to recruit a diverse cohort of students coming from different disciplines and backgrounds, who are excited by the prospects of working with each-other and on real-world applications of NLP. The deadline for applications is midnight (GMT) *11th March 2024.* To find out more information on the programme, funding available and its benefits take a look at the CDT website here: https://www.responsiblenlp.org/ <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.respo…> Detail on how to apply can be found here: https://www.responsiblenlp.org/application-documents/ <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.respo…>

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CfP: CLIRAI Computational Linguistics, Information, Reasoning, and AI
by Roussanka Loukanova 12 Feb '24

12 Feb '24

CfP: CLIRAI Computational Linguistics, Information, Reasoning, and AI ================================================ CALL FOR PAPERS ================================================ Special Session: Computational Linguistics, Information, Reasoning, and AI (CLIRAI) (previously: CompLingInfoReasAI) at 21st International Conference on Distributed Computing and Artificial Intelligence (DCAI) 2024 University of Salamanca (Spain) 26th-28th June, 2024 https://www.dcai-conference.net/tracks/special-sessions/clirai ==== SCOPE: Computational and technological developments that incorporate natural language and reasoning methods are proliferating. Adequate coverage encounters difficult problems related to the phenomena of partiality, underspecification, perspectives of agents, and context dependency. These phenomena are signature features of information in nature, natural languages, and reasoning. The session covers theoretical work, applications, approaches, and techniques for computational models of information, language (artificial, human, or natural in other ways), reasoning. The goal is to promote computational systems and related models of language, thought, reasoning, and other related processes. TOPICS: We invite contributions relevant to the following topics, without being limited to them, across approaches, methods, theories, implementations, and applications: - Theorem Provers and Assistants - Model Checkers - Theories of Computation - Theories of Information - Computational Methods of Inferences in Natural Language - Computational Theories and Systems of Reasoning in Natural Language - Transfer of reasoning in natural language to theorem provers, or vice versa - Transfer of reasoning between natural language, theorem provers, model checkers, and various computational assistants - Translations between natural language of mathematics and formal languages of proof and verification systems - Controlled Languages of Mathematics == - Computational approaches of Computational Linguistics, e.g., in domain specific areas - Theories for applications to language, information processing, reasoning - Type Theories for applications to language, information processing, reasoning - Computational Grammar - Computational Syntax - Computational Semantics of Natural Language - Computational Syntax-Semantics Interface - Interfaces between morphology, lexicon, syntax, semantics, speech, text, pragmatics - Parsing - Multilingual Processing - Large-Scale Grammars of Natural Languages - Models of computation and algorithms for linguistics, natural language processing, argumentation - Computational Models of Partiality, Underspecification, and Context-Dependency - Models of Situations, Contexts, and Agents, for Applications to Computational Linguistics - Information about Space and Time in Language Models and Processing == - Interdisciplinary Methods - Integration of formal, computational, model theoretic, graphical, diagrammatic, statistical, and other related methods - Logic for information extraction or expression in written, spoken, and other modes of language - Logic for information integrations of diagrams with language == - Computational Models of Argumentations - Large Language Models (LLM) - Data Science in Language Processing - Machine Learning of Language and Reasoning == - Interactive Computation, Reasoning, Argumentation - Computation with heterogeneous information - Reasoning with heterogeneous and/or inconsistent information - Dialog and other Interactions - Interdisciplinary approaches to language, computation, reasoning, memory - Computational processing of information and languages in various specific areas and domains, e.g., in forensics, medical sciences, healthcare, jurisdiction, law, etc. - Applications, e.g., to governing, education, business, economy, justice, health, medical sciences, etc. == - Computational processing language based on natural fundamentals of information and languages - Computational neuroscience of language - etc. IMPORTANT DATES Deadline 15th March, 2024 Notification of acceptance 26th April, 2024 Camera-Ready papers 17th May, 2024 Conference 26th-28th June, 2024 PAPER SUBMISSION at EasyChair of DCAI https://www.dcai-conference.net/tracks/special-sessions The papers must consist of original, relevant, and previously unpublished, sound research results related to any of the topics of the Special Session CLIRAI. SUBMITTING PAPERS and PAPER FORMAT DCAI Special Session papers must be formatted according to the Template of Lecture Notes in Networks and Systems (LNNS), Springer, with a maximum length of 10 pages in length, including figures and references. All papers must be formatted according to the Springer LNNS template, with a maximum length of 10 pages, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the Paper Submission Page: https://www.dcai-conference.net/tracks/special-sessions PUBLICATION All accepted, registered, and presented papers will be published by the series Lecture Notes in Networks and Systems (LNNS), Springer. At least one of the authors of an accepted paper will be required to register and attend the symposium to present the paper in order to include it in the conference proceedings. CHAIRS Roussanka Loukanova Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Bulgaria Sara Rodríguez University of Salamanca, Salamanca, Spain CONTACT: Roussanka Loukanova <rloukanova(a)gmail.com> ====

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2nd CFP Workshop - Holocaust Testimonies as Language Resources @LREC-COLING 2024 in Turin (Italy)
by Francesca Frontini 12 Feb '24

12 Feb '24

Second call for papers for the LREC-COLING2024 pre-conference workshop: Holocaust Testimonies as Language Resources Date: 21 May 2024 (full day) Venue: Lingotto Conference Centre, Turin, Italy Webpage: https://www.clarin.eu/HTRes2024 <https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…> Submission Deadline: 21 February 2024 Submission Portal: https://softconf.com/lrec-coling2024/htres2024/ *Workshop description* Holocaust testimonies serve as a bridge between survivors and history’s darkest chapters, providing a connection to the profound experiences of the past. Testimonies stand as the primary source of information that describe the Holocaust, offering first-hand accounts and personal narratives of those who experienced it. The majority of testimonies are captured in an oral format, as survivors vividly explain and share their personal experiences and observations from that time period. Transforming Holocaust testimonies into a machine-processable digital format can be a difficult task owing to the unstructured nature of the text. The creation of accessible, comprehensive, and well-annotated Holocaust testimony collections is of paramount importance to our society. These collections empower researchers and historians to validate the accuracy of socially and historically significant information, enabling them to share critical insights and trends derived from these data. This workshop will investigate a number of ways in which techniques and tools from natural language processing and corpus linguistics can contribute to the exploration, analysis, dissemination and preservation of Holocaust testimonies. The workshop is supported by CLARIN and the European Holocaust Research Infrastructure (EHRI). We expect contributions related to the following topics: Creation of datasets and development of tools for the study of Holocaust testimonies: - Creation of language corpora of Holocaust testimonies - Digitization and enhancement of oral and written testimonies (including automatic speech recognition, alignment of text and speech, format conversion, OCR, handwriting recognition, machine translation) - Named entity recognition for identifying people, places, and events in testimonies - Standards, representation formats, and guidelines for annotations and vocabularies relevant to the Holocaust testimonies - Creation, adaptation and tuning of software applications for the creation, annotation, enhancement and use of Holocaust testimonies as language resources - Research using and Holocaust testimonies - Applications of NLP in analysing Holocaust survivor testimonies - Sentiment analysis and emotional content extraction from survivor narratives. - Data Visualisation, Knowledge Representation and Information Extraction: - Visualising complex data structures from Holocaust testimonies - Building knowledge graphs and networks to represent historical relationships - Interactive data visualisations for education and research - Extracting biographical and temporal information relevant to the Holocaust - Deep learning and large language models - Digital Archiving and Long-Term Preservation: - Methods and tools for digitising and preserving Holocaust testimonies - Best practices for metadata standards and cataloguing - Ensuring long-term accessibility and data integrity - Ethical Considerations and Privacy - Ethical challenges in digitising and sharing sensitive testimonies - Anonymisation and privacy protection in Holocaust data - Community engagement and consent in digital projects - User and application aspects - Development of tools and interfaces for the search, analysis and exploration of Holocaust testimonies - Other relevant use cases and application scenarios All papers must clearly state and explain their relevance to the topic of 'Holocaust Testimonies as Language Resources'. *Submission & Publication* All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. We welcome the following types of contributions: - Standard research papers (up to 8 pages, plus more pages for references if needed); - Short research papers (from 4 to 6 pages, plus more pages for references if needed). Submissions must be anonymous and strictly follow the LREC2024 stylesheet formatting <https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…>guidelines. All papers should be electronically submitted in PDF format via the main conference platform via START <https://url6.mailanyone.net/scanner?m=1rX22L-0002ym-4R&d=4%7Cmail%2F90%2F17…> . *Important Dates* - *Paper submission deadline:* 21 February 2024 - *Notification of acceptance:* 20 March 2024 - *Camera-ready paper: *15 April 2024 - *Workshop date: *21 May 2024 *Organising Committee* - Isuri Anuradha, University of Wolverhampton, UK - Ingo Frommholz, University of Wolverhampton, UK - Francesca Frontini, CNR-ILC, Italy & CLARIN, Italy - Martin Wynne, Oxford University, UK - Ruslan Mitkov, Lancaster University, UK - Paul Rayson, Lancaster University, UK - Alistair Plum, University of Luxembourg, Luxembourg *Programme Committee* - Le An Ha, Ho Chi Minh City University of Foreign Languages and Information Technology, Vietnam - Federico Boschetti, CNR-Istituto di, Linguistica Computazionale “A. Zampolli”, Italy - Estelle Bunout, University of Luxembourg, Luxembourg - Martin Bulin, University of West Bohemia, Czech Republic - Tim Cole, University of Bristol, UK - Angelo Mario Del Grosso, CNR-Istituto di, Linguistica Computazionale “A. Zampolli”, Italy - Maria Dermentzi, King’s College London, UK - Robert Ehrenreich, USHMM, USA - Ignatius Ezeani, Lancaster University, UK - Ian Gregory, Lancaster University, UK - Arjan van Hessen, Radboud University - Henk van den Heuvel, Radboud University & CLARIN ERIC - Renana Keydar, The Hebrew University of Jerusalem, Israel - William J.B. Mattingly, USHMM, USA - Patricia Murrieta-Flores, Lancaster, University, UK - Maciej Ogrodniczuk, Institute of Computer, Science, Polish Academy of Sciences, Poland - Maciej Piasecki, Wroclaw University of Science and Technology, Poland - Rachel Pistol, King’s College London, UK - Johannes-Dieter Steinert, University of Wolverhampton, UK - Jan Svec, University of West Bohemia - Gabor Toth, University of Luxembourg,Luxembourg - Eveline Wandl-Vogt, Austrian Academy of Sciences, Vienna

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Edge Hill Corpus Research Group, Thursday 29 February 2024, 2:00-3:30 pm (GMT)
by Costas Gabrielatos 10 Feb '24

10 Feb '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 29 February 2024, 2:00-3:30 pm (GMT). Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Registration closes on Wednesday 28 February, 11 am (GMT) Topic: Corpus Methodology Speaker: Matteo Di Cristofaro<https://infogrep.it/site/> (University of Modena and Reggio Emilia, Italy) Title: One dataset, many corpora: Problems of scientific validity in corpora and corpus-derived results Abstract Corpus linguistics has, since its inception, recognised the relevance of digital technologies as a major driving force behind corpus techniques and their (r)evolution in the study of language (cf. Tognini-Bonelli 2012). And yet, while both corpus linguistics and digital technologies have frequently benefited from each other (the case of NLP/NLU is one such macro example), their pathways have often diverged. The result is a disconnect between corpus linguistics and digital data processing whose effects directly impinge on the ability to analyse language through software tools. A disconnect becoming more and more relevant as corpus linguistics is being applied to vast amounts of data obtained from manifold sources – including a wide array of social media platforms, each one with its unique linguistic and technical peculiarities. As the ground-truth of an ever-increasing number of language studies, corpora must be able to correctly treat and represent such peculiarities: e.g. the dialogic dimension of comments or forum posts; the presence (and potential subsequent normalisation) of spelling variations; the use of hashtags and emojis. Failing to do so, the corpus-derived results will likely present researchers with a falsified view of the language under scrutiny. What is at stake is not the ability to “count” what is in a corpus, but rather whether what is being counted is or is not a feature present in the original data – of which the corpus should be a faithful representation. The presentation is consequently devoted to tackling digital technicalities, i.e. “those notions and mechanisms that – while not classically associated with natural language – are i) foundational of the digital environments in which language production and exchanges occur and ii) at the core of the techniques that are used to produce, collect, and process the focus of investigation, that is, digital textual data.” (Di Cristofaro 2023:5). One such example is represented by character encodings: although at the “core” of the whole corpus linguistics enterprise (cf. McEnery and Xiao 2005; Gries 2016:39,111) – since they allow written language to be processed by a computer and understood by humans -, these are often overlooked at all stages of corpus compilation and analysis, potentially leading linguists to involuntarily tampering with the data and its linguistic contents. Starting from practical examples, the presentation discusses the implications that digital technicalities have on corpora and their analyses – or rather, what happens when they are not properly treated – while outlining (also in the form of Python scripts and practical tools) potential new pathways that a “digital-aware” perspective of corpus linguistics can open up. References Di Cristofaro, Matteo. Corpus Approaches to Language in Social Media. Routledge Advances in Corpus Linguistics. New York: Routledge, 2023. https://doi.org/10.4324/9781003225218<https://doi.org/10.4324/9781003225218>. Gries, Stefan Th. Quantitative Corpus Linguistics with R: A Practical Introduction. 2nd ed. New York: Routledge, 2016. https://doi.org/10.4324/9781315746210<https://doi.org/10.4324/9781315746210>. McEnery, Tony, and Richard Xiao. ‘Character Encoding in Corpus Construction’. In Developing Linguistic Corpora: A Guide to Good Practice, edited by Martin Wynne, 47–58. Oxford: Oxbow Books, 2005. https://users.ox.ac.uk/~martinw/dlc/index.htm<https://users.ox.ac.uk/~martinw/dlc/index.htm>. Tognini Bonelli, Elena. ‘Theoretical Overview of the Evolution of Corpus Linguistics’. In The Routledge Handbook of Corpus Linguistics, edited by Anne O’Keeffe and Michael McCarthy, 14–27. Routledge Handbooks in Applied Linguistics. Milton Park, Abingdon, Oxon ; New York: Routledge, 2012. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Call for Contributions HealTAC2024
by d.harvey4＠lancaster.ac.uk 09 Feb '24

09 Feb '24

HealTAC 2024 (the 7th Healthcare Text Analytics Conference) is taking place in Lancaster (UK), from June 12 to June 14th, 2024. Submit your extended abstracts that describe any aspect of healthcare text analytics by March 28th. Submissions (up to 2 pages) should be prepared based on a template that is available at the conference web site: https://healtac2024.github.io/submissions/ We also invite PhD and fellowship project submissions that describe ongoing PhD research (any stage) or a planned fellowship application. The conference will provide an opportunity to receive constructive feedback from a panel of experts. As in previous years, there will be a post-conference open call to submit a journal length paper for further peer review and publication in Frontiers in Digital Health. We are looking forward to seeing you at #HEALTAC2024

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Webminar by Heng Ji (University of Illinois)
by HiTZ zentroa 09 Feb '24

09 Feb '24

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Heng Ji (University of Illinois) * *Title*: SmartBook: an AI Prophetess for Disaster Reporting and Forecasting * *Date*: *Friday*, February 16, 2024 - 15:00 CET * *Summary*: History repeats itself, sometimes in a bad way. If we don’t learn lessons from history, we might suffer similar tragedies, which are often preventable. For example, many experts now agree that some schools were closed for too long during COVID-19 and that abruptly removing millions of children from American classrooms has had harmful effects on their emotional and intellectual health. Also many wish we had invested in vaccines earlier, prepared more personal protective equipment and medical facilities, provided online consultation services for people who suffered from anxiety and depression, and created better online education platforms for students. Similarly, genocides throughout history (from those in World War II to the recent one in Rwanda in 1994) have also all shared early warning signs (e.g., organization of hate groups, militias, and armies and polarization of the population) forming patterns that follow discernible progressions. Preventing natural or man-made disasters requires being aware of these patterns and taking pre-emptive action to address and reduce them, or ideally, eliminate them. Emerging events, such as the COVID pandemic and the Ukraine Crisis, require a time-sensitive comprehensive understanding of the situation to allow for appropriate decision-making and effective action response. Automated generation of situation reports can significantly reduce the time, effort, and cost for domain experts when preparing their official human-curated reports. However, AI research toward this goal has been very limited, and no successful trials have yet been conducted to automate such report generation and “what-if” disaster forecasting. Pre-existing natural language processing and information retrieval techniques are insufficient to identify, locate, and summarize important information, and lack detailed, structured, and strategic awareness. We propose SmartBook, a novel framework that cannot be solved by ChatGPT, targeting situation report generation which consumes large volumes of news data to produce a structured situation report with multiple hypotheses (claims) summarized and grounded with rich links to factual evidence by claim detection, fact checking, misinformation detection and factual error correction. Furthermore, SmartBook can also serve as a novel news event simulator, or an intelligent prophetess. Given “What-if” conditions and dimensions elicited from a domain expert user concerning a disaster scenario, SmartBook will induce schemas from historical events, and automatically generate a complex event graph along with a timeline of news articles that describe new simulated events based on a new Λ-shaped attention mask that can generate text with infinite length. By effectively simulating disaster scenarios in both event graph and natural language format, we expect SmartBook will greatly assist humanitarian workers and policymakers to exercise reality checks (what would the next disaster look like under these given conditions?), and thus better prevent and respond to future disasters. * *Bio*: Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department and Coordinated Science Laboratory of University of Illinois Urbana-Champaign. She is an Amazon Scholar. She is the Founding Director of Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE). She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge-enhanced Large Language Models, Knowledge-driven Generation and Conversational AI. She was selected as a Young Scientist to attend the 6th World Laureates Association Forum, and selected to participate in DARPA AI Forward in 2023. She was selected as "Young Scientist" and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. She was named as part of Women Leaders of Conversational AI (Class of 2023) by Project Voice. The awards she received include "AI's 10 to Watch" Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, PACLIC2012 Best paper runner-up, "Best of ICDM2013" paper award, "Best of SDM2013" paper award, ACL2018 Best Demo paper nomination, ACL2020 Best Demo Paper Award, NAACL2021 Best Demo Paper Award, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030, and invited to speak at the Federal Information Integrity R&D Interagency Working Group (IIRD IWG) briefing in 2023. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA ECOLE MIRACLE team, DARPA KAIROS RESIN team and DARPA DEFT Tinker Bell team. She has coordinated the NIST TAC Knowledge Base Population task since 2010-2021. She was the associate editor for IEEE/ACM Transaction on Audio, Speech, and Language Processing, and served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018 and AACL-IJCNLP2022. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2023. Her research has been widely supported by the U.S. government agencies (DARPA, NSF, DoE, ARL, IARPA, AFRL, DHS) and industry (Amazon, Google, Facebook, Bosch, IBM, Disney). * *Upcoming webinars: * Smaranda Muresan (March 7, 2024) * Ralf Schlüter (May 2, 2024) * Marco Baroni (June 6, 2024) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa P.S:HiTZ will not grant any type of certificate for attendance at these webinars.

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