September 2024 - Corpora

Call for Participations: Regulations Challenge at FinNLP-FNP-LLMFinLegal Workshop @ COLING 2025
by jimin.huang＠thefin.ai 19 Sep '24

19 Sep '24

Dear all, The Regulations Challenge aims to push the boundaries of LLMs in understanding, interpreting, and applying regulatory knowledge in the finance industry. In this challenge, participants will participate in 9 tasks to explore key issues, including, but not limited to, regulatory complexity, ethical considerations, domain-specific terminology, industry standards, and interpretability. We welcome students, researchers, and practitioners who are passionate about finance and LLMs. We encourage participants to develop solutions that advance the capabilities of LLMs in addressing the challenges of financial regulations and industry standards. These tasks assess the LLM's ability to handle different types of questions within the regulatory domain which follow: - Abbreviation Recognition Task: Goal: Match an abbreviation with its expanded form. Input Template: "Expand the following acronym into its full form: {acronym}. Answer:" - Definition Recognition Task: Goal: Correctly define a regulatory term or phrase. Input Template: "Define the following term: {regulatory term or phrase}. Answer:" - Named Entity Recognition (NER) Task: Goal: Ensure the output correctly identifies entities and places them into groups that the user specifies. Input Template: "Given the following text, only list the following for each: specific Organizations, Legislations, Dates, Monetary Values, and Statistics: {input text}." - Question Answering Task: Goal: Ensure the output matches the correct answer to a detailed question about regulatory practices or laws. Input Template: "Provide a concise answer to the following question: {detailed question}? Answer:" - Link Retrieval Task: Goal: Ensure the link output matches the actual law. Input Template: "Provide a link for ____ law, Write in the format of ("{Law}: {Link}" or "{Law}: Not able to find a link for the law")" - Certificate Question Task: Goal: Select the correct answer choice to a question that may be based on additional context. Input Template: "(This context is used for the question that follows: {context}). Please answer the following question with only the letter and associated description of the correct answer choice: {question and answer choices}. Answer:" - XBRL Analytics Task: Goal: Ensure the output strictly matches the correct answer to a detailed question about financial data extraction and application tasks via XBRL filings. These standardized digital documents contain detailed financial information. Input Template: "Provide the exact answer to the following question: {detailed question}? Answer:" - Common Domain Model (CDM) Task: Goal: Deliver precise responses to questions about the Fintech Open Source Foundation's (FINOS) Common Domain Model (CDM). Input Template: "Provide a concise answer to the following question related to Financial Industry Operating Network's (FINO) Common Domain Model (CDM): {detailed question}? Answer:" - Model Openness Framework (MOF) Licenses Task: Goal: Deliver precise responses to questions concerning the requirement of license under the Model Openness Framework. Input Template: "Provide a concise answer to the following question about MOF's licensing requirements: {detailed question}? Answer:" The final score is determined by the weighted average of metrics for 9 tasks. We assign the weight of 10% to Task 1-5 each, 20% to Task 6, and 10% to Task 7-8 each. Important Dates Training Set Release: September 15, 2024 Training Data Details: Summary of Question Dataset Validation Set Release: October 30, 2024 Systems Submission: November 7, 2024 Release of Results: November 12, 2024 Paper Submission Deadline: November 25, 2024 Notification of Acceptance: December 5, 2024 Camera-ready Paper Deadline: December 13, 2024 Workshop Date: January 19-20, 2025 Task Organizers Keyi Wang, Columbia University, Northwestern University Lihang (Charlie) Shen, Columbia University Haoqiang Kang, Columbia University Xingjian Zhao, Rensselaer Polytechnic Institute Namir Xia, Rensselaer Polytechnic Institute Christopher Poon, Rensselaer Polytechnic Institute Jaisal Patel, Rensselaer Polytechnic Institute Andy Zhu, Rensselaer Polytechnic Institute Shengyuan Lin, Rensselaer Polytechnic Institute Daniel Kim, Rensselaer Polytechnic Institute Jaswanth Duddu, Rensselaer Polytechnic Institute Matthew Tavares, Rensselaer Polytechnic Institute Shanshan Yang, Stevens Institute of Technology Sai Gonigeni, Stevens Institute of Technology Kayli Gregory, Stevens Institute of Technology Katie Ng, Stevens Institute of Technology Andrew Thomas, Stevens Institute of Technology Dong Li, FinAI Supervisors Yanglet Xiao-Yang Liu, Rensselaer Polytechnic Institute, Columbia University Steve Yang, School of Business at Stevens Institute of Technology Kairong Xiao, Roger F. Murray Associate Professor of Business at Columbia Business School Matt White, Executive Director, PyTorch Foundation. GM of AI, Linux Foundation Cailean Osborne, University of Oxford Wes Turner, Rensselaer Center for Open Source (RCOS), Rensselaer Polytechnic Institute Neha Keshan, Rensselaer Polytechnic Institute Luca Borella, PM of AI Strategic Initiative, FINOS Ambassador, Linux Foundation Karl Moll, Technical Project Advocate, FINOS, Linux Foundation For more details, please visit https://coling2025regulations.thefin.ai/ or contact colingregchallenge2025(a)gmail.com Best regards, Jimin Huang The Fin AI (https://thefin.ai)

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Financial Misinformation Detection Challenge: Training Datasets Release and Call for Participations
by jimin.huang＠thefin.ai 19 Sep '24

19 Sep '24

Dear All, We're excited to announce that we've just released all training datasets for Financial Misinformation Detection Challenge at FinNLP-FNP-LLMFinLegal Workshop @ COLING 2025, giving participants the resources needed to start building powerful models. This is your chance to explore, innovate, and contribute to the world of financial large language models. This task tests the ability of LLM to verify financial misinformation while generating plausible explanations. Participants need to develop or adapt LLMs to identify financial claims (True'/'False'/'Not Enough Information') and give explanations for their decision according to the related information, following the designed prompt template of the query. For more details: Contest Website: https://coling2025fmd.thefin.ai/ Team Registration: https://forms.gle/vh9MSQa31HwrS7Xm9 Shared Task Organizers: Zhiwei Liu - University of Manchester, UK Keyi Wang - Columbia University, Northwestern University, USA Zhuo Bao - Internet Domain Name System Beijing Engineering Research Center Co, China Xin Zhang - University of Manchester, UK Jiping Dong - University of Chinese Academy of Sciences, China Boyang Gu - Imperial College London, UK Kailai Yang - University of Manchester, UK Dong Li - FinAI, Singapore Sophia Ananiadou - University of Manchester, UK; Archimedes RC, Greece Important Dates: Schedule: from Aug 15 to Dec 13, 2024 Solution submission deadline: Nov 7, 2024 Paper submission deadline: Nov 25, 2024 Notifications of Acceptance: Dec 5, 2024 Camera-ready Paper Deadline: Dec 13, 2024 We look forward to your participation and your brilliant contributions to this event. Best regards, Jimin Huang The Fin AI (https://thefin.ai)

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SemEval 2025: Multilingual News Narrative Analysis Task
by ion＠aueb.gr 19 Sep '24

19 Sep '24

First call for participation in the SemEval 2025 shared task: Multilingual Characterization and Extraction of Narratives from Online News. This task challenges participants to analyze news articles and automatically identify narratives, classify them, and determine the roles played by relevant entities. The task is multilingual, covering five languages: Bulgarian, English, Hindi, Portuguese, and Russian. Participants can choose to participate in one or more of the following subtasks: - Subtask 1: Entity Framing – Classify the roles of named entities within news articles. - Subtask 2: Narrative Classification – Classify each article based on all the (sub)narratives given a specific domain. - Subtask 3: Narrative Extraction – Generate short textual explanations for dominant narratives in the articles. The task covers news articles from two domains, namely, Ukraine-Russia War and Climate Change. Important Dates: - 31 January 2025: Test submission deadline - 28 February 2025: System paper submission deadline - 31 March 2025: Notification to authors - 21 April 2025: Camera-ready papers due - Summer 2025: SemEval workshop For more details, visit https://propaganda.math.unipd.it/semeval2025task10/ or contact us at semeval2025narratives-task-participants(a)googlegroups.com. We look forward to your participation and to advancing the state of multilingual news narrative analysis together! -- Ion Androutsopoulos (http://www.aueb.gr/users/ion/) Professor of AI, Head of Department, Information Processing Lab Director, NLP Group Co-director Department of Informatics, Athens University of Economics and Business and Adjunct Researcher, "Archimedes" Research Unit, Research Center "Athena"

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Johns Hopkins: Tenure Track Faculty Positions
by Mark Dredze 19 Sep '24

19 Sep '24

The Computer Science department at Johns Hopkins University is hiring tenure-track faculty. Our search includes two tracks: 1) Data Science and AI, and 2) All other areas of Computer Science. We offer special support for *spousal/partner placement. *Additionally, starting October 1, *Early Action* hiring will consider candidates for fall semester interviews with potentially early offers that have typical spring deadlines. We encourage candidates to apply early to take advantage of flexible scheduling and potentially receive an early offer before they proceed to spring interviews. All applications submitted by December 1, 2024 will receive full consideration. Our search supports the large-scale expansion of the Whiting School of Engineering, which will add 150 new tenure-track professors at all ranks, including 30 Bloomberg Distinguished Professorships and 80 positions that will be part of the university’s new Data Science and AI Institute. This expansion includes a new building and extensive computational resources that will establish Johns Hopkins as one of the largest and leading engineering schools with a top AI research program. The expansion will grow JHU CS to become one of the largest computer science departments at a U.S. private university. Feel free to forward this to interested parties. Job Ad: https://www.cs.jhu.edu/about/employment-opportunities/ Applications: http://apply.interfolio.com/153420 Data Science AI: https://engineering.jhu.edu/Datascience-AI/ Computer Science DSAI: https://engineering.jhu.edu/Datascience-AI/CS/ Best, Mark Dredze ============== John C Malone Professor Associate Head of Research and Strategic Initiatives, Computer Science Johns Hopkins University

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2nd CfP: 1st Workshop on Computational Humor (CHum @ COLING 2025)
by Tristan Miller 18 Sep '24

18 Sep '24

Call for papers: 1st Workshop on Computational Humor (CHum 2025) ================================================================ The 1st Workshop on Computational Humor (CHum 2025) will take place virtually on January 19, 2025 as part of the 31st International Conference on Computational Linguistics (COLING 2025). Scope and topics ---------------- CHum 2025 aims to foster further work on modeling the processes of humor with current methods in computational linguistics and natural language processing, against the theoretical backdrop of humor research and with reference to relevant corpora of textual, visual, and multimodal materials. A principal goal of the workshop is to unite researchers who can together probe the limits of various meaning representations -- symbolic, neural, and hybrid -- for humor processing. We welcome contributions on any topic relevant to the computational processing of humor, including but not limited to the following: * LLMs, knowledge representation * Resources and evaluation * Human-computer interaction * Computer-mediated communication * Assisted content creation * Machine and computer-assisted translation * Digital humanities applications * Formal modeling of humor * Proof-of-concept humor detection and classification Particularly encouraged are submissions describing inter- or multi-disciplinary work, whether completed or in progress, and position papers that critically discuss the past, present, and future of computational humor systems. Submission instructions ----------------------- Long and short papers should be formatted according to the same guidelines for the main COLING 2025 conference papers <https://coling2025.org/calls/submission_guidlines/> and submitted through START: <https://softconf.com/coling2025/CompHum25/> Important dates --------------- All deadlines are at 23:59 UTC-12:00 ("anywhere on Earth"). * Initial submission: November 15, 2024 * Notification of acceptance: December 2, 2024 * Camera-ready submission: December 13, 2024 * Workshop: January 19, 2025 Organizers ---------- * Christian F. Hempelmann, Texas A&M University-Commerce * Julia Rayz, Purdue University * Tiansi Dong, Fraunhofer IAIS * Tristan Miller, University of Manitoba Further information ------------------- * Website: <https://chum2025.github.io/> * E-mail: chum(a)groups.io -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://logological.org/ | Tel. +1 204 474 6792

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HITS Independent Postdoc Program
by michael.strube＠h-its.org 18 Sep '24

18 Sep '24

The HITS Independent Postdoc Program offers a great opportunity for highly talented young scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged. Selected postdocs will collaborate with group leaders at HITS while developing and pursuing their independent research projects. What we offer: The Fellowship is awarded for 2 years, with an option for a 1-year extension after positive evaluation. We offer a vibrant research community and a highly interdisciplinary and international working environment, with close links to Heidelberg University and the Karlsruhe Institute of Technology (KIT). In addition, successful candidates benefit from outstanding computing resources and various courses offered at HITS. A competitive salary, relocation and childcare allowances are provided. Find the current job opening here: https://www.h-its.org/research/independent-postdoc-program/ 2024 Deadline: November 3rd, 2024 Please don't hesitate to get in contact with Michael Strube (michael.strube ät h-its.org) if you have any questions. -- Michael Strube NLP Group HITS gGmbH Schloss-Wolfsbrunnenweg 35 69118 Heidelberg, Germany https://www.h-its.org/nlp

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Extended Deadline- ACM SAC 2025 - Knowledge and Natural Language Processing Track
by Patrizio Bellan 18 Sep '24

18 Sep '24

The 40th ACM/SIGAPP Symposium on Applied Computing ACM SAC 2025 March 31 - April 4, 2025 - Catania, Italy Knowledge and Natural Language Processing Track ***************************************** Important Dates Author deadline for submissions: September 20, 2024 October 4, 2024: Author notification of acceptance: October 30, 2024 Author camera ready and registration due: November 29, 2024 ***************************************** Aim Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, two extremely interdisciplinary and lively research areas at the core of Artificial Intelligence. In particular, the track welcomes contributions combining and complementing methods and approaches from both areas. Topics of interest include, but are not limited to: - Natural Language Processing NLP tasks for Knowledge Extraction NLP for Ontology Population and Learning Sentiment Analysis and Opinion Mining for Knowledge Applications Interplay between Language and Ontologies NLP for Explainable Knowledge Machine Translation techniques for Multi-lingual Knowledge NLP for the Web (Large) Language Models and Knowledge - Knowledge Knowledge to improve NLP tasks Knowledge for Information Retrieval Knowledge-based Sentiment Analysis and Opinion Mining Combining Knowledge and Deep Learning for NLP Knowledge for Text Summarization and Generation Knowledge for Persuasion Knowledge-based Machine Translation Knowledge for the Web Linked Data for NLP Knowledge-based NL Explainability RAG and Knowledge injection for Language Models - Applications Real-world applications that exploit Knowledge and NLP Knowledge and NLP Systems for Big Data scenarios Knowledge and NLP technology for diverse, equitable, and inclusive society Deployment of Knowledge and NLP Systems in specific domains, such as: Digital Humanities and Social Sciences eGovernment and public administration Life sciences, health and medicine News and Data Streaming ***************************************** Paper Submission Research papers and experience reports related to the above topics are solicited. Submissions must not have been published or be concurrently considered for publication elsewhere. Papers should be submitted in PDF using the ACM-SAC proceedings format using the submission link on the SAC 2025 website (https://www.sigapp.org/sac/sac2025/). Authors' names and affiliations should be entered separately at the submission site and not appear in the submitted papers. Each submission will be reviewed in a DOUBLE-BLIND process according to the ACM-SAC Regulations. Student Research Competition (SRC) submissions are welcome (see SAC 2025 website for details). Full papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages (paying an extra charge). Posters are limited to 2 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page (paying an extra charge). SRC Abstracts are limited to 3 pages, in camera-ready format, included in the registration fee. No extra pages are allowed. Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. Some papers may be accepted as posters. Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. ***************************************** Track Co-Chairs Patrizio Bellan, Fondazione Bruno Kessler (FBK) Marco Bombieri, Università degli Studi di Verona Mauro Dragoni, Fondazione Bruno Kessler (FBK) Marco Rospocher, Università degli Studi di Verona ***************************************** Programme Committee TBA ***************************************** General Inquiries For further information, please visit SAC Knowledge and Natural Language Processing Track (https://knlp-sac.github.io/2025/) and SAC 2024 conference websites (https://www.sigapp.org/sac/sac2025/) or feel free to contact the Track Co-Chairs at knlp(a)fbk.eu<mailto:knlp@fbk.eu> . -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all'indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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[CFP]: FIRE 2024, The 16th Annual meeting of Forum for Information Retrieval Evaluation
by Bhargav Dave 17 Sep '24

17 Sep '24

*Call for Papers* *FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation* 12th - 15th December 2024 DA-IICT, Gandhinagar, India *Submission Deadline: 22nd September 2024 (Extended)* Website: fire.irsi.org.in Submission Link : https://cmt3.research.microsoft.com/FIRE2024 ------------------------------ The 16th meeting of the Forum for Information Retrieval Evaluation 2024 will be held at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. It will be an in-person conference. We are seeking submissions of high-quality and original papers. Submissions will be reviewed by experts on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality and the overall contribution to the field of IR/NLP. Authors are also encouraged to describe work in progress and late-breaking research results. *Topics of interest include, but are not limited to* 1. Search and Ranking: Research on core algorithmic topics in IR: 1. Queries and query analysis (e.g., Query understanding, query reformulation, query representation etc.) 2. Retrieval models and ranking (e.g., Cross lingual IR with a particular focus on Indian languages, ranking algorithms, language models, retrieval algorithms, learning to rank etc) 3. Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling etc). 4. Supervised/Weakly supervised deep neural networks. 5. Other domain-specific applications of IR. 2. Evaluation: Research on evaluation of IR systems: 1. User centric evaluation (e.g., User experience, user engagement etc) 2. System centric evaluation (e.g., Evaluation metrics). 3. Query Performance Prediction and its applications. 3. Generative Models for IR/NLP. 1. Conversational and Interactive Search Systems 2. Simulated Data for Personalized IR. 3. Issues related to fairness and trustworthiness of IR/Recsys models 4. In-Context Learning or Retrieval Augmented Generation for Search and NLP downstream tasks, such as Question Answering, Summarization 5. Domain-specific generation, such as Code generation, Argument generation, Workflow generation. 4. Explainability, Fairness and Trust of IR/Recsys models 1. Explainable models for ranking, text classification/clustering, summarization etc. 2. User studies for explainable AI (XAI) applied to IR/Recsys 3. Issues related to fairness and trustworthiness of IR/Recsys models 5. Multimodal and Crossmodal IR/Recsys model 1. Visual Question Answering 2. Image search/recommendation 3. Question answering 4. Multimodal document summarization *Important dates* *25th July 2024* Paper submission link <https://cmt3.research.microsoft.com/FIRE2024> will be available *5th September 2024 22nd September 2024 * Paper submission deadline *30th October 2024 * Paper acceptance notification *10th November 2024 * Camera ready copy submission deadline *12th-15th December 2024* In-person conference Note: All submission deadlines are 11:59 PM AoE Time Zone (Anywhere on Earth). *Submission Guidelines* Submissions must describe substantial, original and unpublished work. Wherever appropriate, concrete evaluation and analysis must be included. If the paper being submitted is under review at any other venue, the same should be explicitly mentioned when making the submission. Such a paper, if accepted, should be withdrawn from all other places. The FIRE conference track, this year, is subdivided into 2 different subtracks (described later), each with a different scope and objective, and with different reviewing policy. Please make sure that you are submitting your paper in the correct track. No requests for switching papers across tracks will be entertained after the deadline for paper submission expires. Submissions will be taken through Microsoft CMT. Select the "Conference Track" while submitting the paper and in the subject area select the appropriate paper type (Regular Paper, Resource and Demo Paper, Extended Abstract). Please note that incorrect submission will be desk rejected. Link to submit the paper: https://cmt3.research.microsoft.com/FIRE2024 *Paper Template and Submission* The submitted papers must follow LNCS (Springer conference) template available on https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… . The only accepted format of submissions is PDF. Papers which do not conform to the requirements may get rejected without review. Please note that it is the responsibility of the authors to ensure that the PDF submission has been uploaded successfully (we suggest that you try downloading your paper again yourself, to check). Authors are invited to submit in any of the following tracks: - *Regular paper* Similar to last year, this year, also we don’t make any explicit distinction between long and short papers. More time will be allocated for longer papers during the presentation. Submitted papers can be of *variable length* up to a *maximum of 12* pages of *content (excluding references)* . Reviewing policy: Double-blind. - *Resource and Demo paper* The papers submitted at this track should describe data or software resources towards a research problem that will be helpful to the IR/NLP/AI community. Such resources should ideally be made publicly available for reviewers to judge the merit of the resources. The demo papers should contain a link to a working software that demonstrates the application of existing research methods as a proof-of-the-concept. Reviewing policy: Single-blind. Number of pages: *variable length* up to a *maximum of 9* pages of *content (excluding references).*. *Double-blind Reviewing Policy* All submissions to the regular track of FIRE conference 2024 will be reviewed on the basis of originality, relevance, importance, and clarity. For papers submitted to the regular track, the authors must not mention their names or institutional details anywhere in the paper. Authors should refer to themselves in third person when citing their own work. Expressions like "In our earlier work..." or "We previously showed that..." must be avoided. *Presentation Requirements* If accepted, at least one author will have to register for the conference and present their work in-person. *Conference Track Co-ordinator* - Debasis Ganguly (University of Glasgow, UK) - Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, Kolkata, India) For queries related to conference please email us at [ clia(a)isical.ac.in ] For latest updates subscribe the FIRE mailing List [ https://groups.google.com/forum/#!forum/fire-list ]

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Call for Papers for the 22nd Annual Workshop of the Australasian Language Technology Association (ALTA) extended to 27th September
by Kathy Reid 17 Sep '24

17 Sep '24

Dear Colleagues, The CfP for the 22nd Annual Workshop of the Australasian Language Technology Association - ALTA 2024 - is now open and has been extended to 27th September (23:59hrs Anywhere on Earth UTC -12) Details are available on our website at https://alta2024.alta.asn.au/calls/papers and a summary follows. --- Important Dates * Submission deadline for short/long papers, presentation abstracts and industry demonstrations: 20 September 2024 (23:59 Anywhere On Earth UTC-12). * Main conference: 3 December and 4 December 2024, ANU, Canberra, ACT, hybrid (in person and online) Overview The 22nd Annual Workshop of the Australasian Language Technology Association (ALTA) will be held in a hybrid format at the Australian National University, Canberra, from 2 December to 4 December 2024 and also online. The ALTA 2024 workshop is the key local forum for socialising research results in Natural Language Processing (NLP) and Computational Linguistics (CL). It will feature presentations, posters, and demonstrations from students, industry, and academic researchers. Like previous years, we also encourage submissions and participation from industry and government researchers and developers. Note that ALTA is listed in the CORE 2023 Conference Rankings as Australasian C<https://www.core.edu.au/conference-portal>. Topics ALTA invites the submission of papers and presentations on all aspects of NLP and CL, including, but not limited to: * Commonsense Reasoning. * Computational Social Science and Cultural Analytics. * Dialogue and Interactive Systems. * Discourse and Pragmatics. * Efficient Methods for NLP. * Ethics in NLP. * Information Extraction. * Information Retrieval and Text Mining. * Interpretability, Interactivity and Analysis of Models for NLP. * Language Grounding to Vision, Robotics and Beyond. * Language Modeling and Analysis of Language Models. * Linguistic Theories, Cognitive Modeling and Psycholinguistics. * Machine Learning for NLP. * Machine Translation. * Multilinguality and Linguistic Diversity. * Natural Language Generation. * NLP Applications. * Phonology, Morphology and Word Segmentation. * Question Answering. * Resources and Evaluation. * Semantics: Lexical, Sentence level, Document Level, Textual Inference, etc. * Sentiment Analysis, Stylistic Analysis, and Argument Mining. * Speech and Multimodality. * Summarisation. * Syntax, Parsing and their Applications. We particularly encourage submissions that broaden the scope of our community by considering practical applications of language technology and multidisciplinary research. We also specifically encourage submissions from the industry. Format and instructions for authors Please refer to our CfP webpage for specifics.<https://alta2024.alta.asn.au/calls/papers> We are using OpenReview for submissions, and invite submissions of three different formats: (1) Original Research Papers, (2) Abstract-based Presentations, and (3) Industry Demonstrations. --- You can follow ALTA on social media at the following links: * LinkedIn (page): https://www.linkedin.com/company/australasian-language-technology-associati… * LinkedIn (group):https://www.linkedin.com/groups/1849979/ * Twitter: https://twitter.com/altanlp * Mastodon: https://sigmoid.social/@ALTAnlp * Hashtag is #ALTA2024 With kind regards, on behalf of the ALTA 2024 Team: Dr Gabriela Ferraro, General Chair Professor Tim Baldwin, Program Chair Dr Sergio José Rodríguez Méndez, Program Chair Dr Nicholas Kuo, Program Chair Dr Anton Malko, Publication Chair Dr Dawei Chen, Technology Chair A/Prof Shunichi Ishihara, Finance Chair Charbel El-Khaissi, PhD candidate, Sponsorship Chair Ned Cooper, PhD candidate, Local Chair Kathy Reid, PhD candidate, Publicity Chair

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Artificial Intelligence Research in Applied Linguistics (AIRiAL) 2024 Conference
by Voss, Erik 17 Sep '24

17 Sep '24

Apologies for cross-posting! There’s still time to register for the Artificial Intelligence Research in Applied Linguistics (AIRiAL) 2024 Conference. Register here <https://sites.google.com/tc.columbia.edu/airialconference/airial-2024/regis…> for the conference. Theme AI in Education: Empowering Learners & Preparing Educators Location Teachers College, Columbia University Smith Learning Theater (in person) Dates September 27-28, 2024 Plenary Speakers Yanis Ben Amor, Columbia University Monica Arés, Imperial College Business School The AL & TESOL Language and Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> in the Applied Linguistics & TESOL program at Teachers College will host the second annual Conference on Artificial Intelligence Research in Applied Linguistics (AIRiAL). The theme of this conference emphasizes the transformative role of artificial intelligence (AI) in education and language teaching, focusing on AI literacy among learners and the preparedness of educators for the AI-driven future. We are interested in contributions that showcase AI technologies prioritizing human values, ethics, and the enhancement of human capabilities in the context of applied linguistics. Submissions may cover a wide array of topics within the scope of AI literacy and applied linguistics. We look forward to seeing you at the conference! For more details, visit our conference website here. <https://sites.google.com/tc.columbia.edu/airialconference/airial-2024-home> -- Erik Voss, Ph.D. Assistant Professor, Applied Linguistics & TESOL program Language & Technology Specialization Department of Arts & Humanities Teachers College, Columbia University TC Faculty Profile <https://www.tc.columbia.edu/faculty/ev2449/>, Linkedin Profile <https://www.linkedin.com/in/erik-voss-ph-d-941a3ab9>, Google Scholar <https://scholar.google.com/citations?user=FMnVdjcAAAAJ&hl=en> ALTESOL Language & Technology Research Group <https://sites.google.com/tc.columbia.edu/al-tesol-language-technology/home> Editor-in-Chief of NYS TESOL Journal Associate Editor of Language Assessment Quarterly *Latest Publications* Voss, E. et al. (2023). The Use of Assistive Technologies Including Generative AI by Test Takers in Language Assessment: A Debate of Theory and Practice. <https://doi.org/10.1080/15434303.2023.2288256> LAQ Journal Voss, E. (2024) Duolingo Webinar: Current Applications of Artificial Intelligence in Language Assessment <https://youtu.be/b-mjLmvXLBU?si=nmph76-lizkfzi1J> (1 hour) Voss, E. (2024). Language Assessment and Artificial Intelligence. <https://books.google.com/books?hl=en&lr=&id=ht8aEQAAQBAJ&oi=fnd&pg=PA112&ot…> The Concise Companion to Language Assessment.

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2024

2023

2022

Corpora September 2024