- Corpora - ELRA lists

Doctoral student in NLP at Språkbanken, University of Gothenburg
by Elena Volodina 12 May '23

12 May '23

Dear all, (Apologies for cross-posting) We are looking for a PhD student in NLP to work with us in the project on automatic pseudonymization of Swedish research data (within project Grandma Karl<https://spraakbanken.gu.se/en/projects/mormor-karl>). Application deadline: June, 27, 2023. Earliest start of the position: October, 1, 2023. Announcement in English: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Announcement in Swedish: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Please, apply or forward to those who may be interested! ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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CfP - Linking Lexicographic and Language Learning Resources - 4LR workshop @ LDK 2023
by kris.heylen＠ivdnt.org 12 May '23

12 May '23

** apologies for cross-posting ** Linking Lexicographic and Language Learning Resources (4LR) Workshop at LDK 2023 – Call for Papers Workshop website: https://lexicala.com/4lr/ The workshop ‘Linking Lexicographic and Language Learning Resources’ (4LR) will be held in conjunction with LDK 2023 – 4th conference on Language, Data and Knowledge – (http://2023.ldk-conf.org/) at the University of Vienna, Austria, on September 13 (tentative), in hybrid mode. The aim of this workshop is to explore linguistic linked (open) data and knowledge management methods and technologies for linking lexicographic and language learning resources, tools and applications in general and dictionaries and CEFR lists in particular. Our starting point is, on the one hand, enhancing CEFR-graded language proficiency lists with lexicographic content and, on the other hand, incorporating CEFR labels in learner’s dictionaries. CEFR – the Common European Framework of Reference for Languages – is a generally established international standard for describing language proficiency, and CEFR-graded resources have been developed for many languages in Europe. However, incorporating their information is still not a common practice in modern lexicography for most languages, except for notably two English dictionaries for advanced learners (Cambridge and Oxford). There are substantial unsolved issues, such as inconsistencies in vocabulary size per level between languages; no, or limited, sense disambiguation in CEFR resources; words from a higher CEFR level in definitions and example sentences. Moreover, there has been limited collaboration and interoperability so far among the related fields of lexicography, language acquisition, and linguistic linked data, whether regarding research, development, or practical application. 4LR will feature an overview by the organizers, as well as an invited talk by Jorge Gracia from University of Zaragoza and chair of NexusLinguarum CA on Linked Data for Lexicographic Resources. In addition, we invite submissions for papers (20 minutes, plus discussion) on the following topics: • Linking lexicographic content to CEFR-graded vocabularies • Pedagogical lexicography and knowledge graphs • Attributing CEFR labels in learner’s dictionaries • Incorporating vocabulary and grammar profiles in lexicographic resources • Creating and linking crosslingual concept-based CEFR resources • Multilingual knowledge management and language learning applications and tools SUBMISSION AND DATES Please submit your abstract including 300-500 words via EasyChair [https://easychair.org/conferences/?conf=4lr2023]. 19 May 2023 Deadline for abstract submission 29 May 2023 Deadline for notification for abstract submission 30 June 2023 Deadline for camera-ready paper submission 13 Sep 2023 (tentative) 4LR workshop 14–15 Sep LDK 2023 conference ORGANIZERS AND CONTACT Kris Heylen. Dutch Language Institute (Kris DOT Heylen AT ivdnt DOT org) Jelena Kallas. Institute of the Estonian Language Ilan Kernerman. Lexicala by K Dictionaries Carole Tiberius. Dutch Language Institute Website: https://lexicala.com/4lr/ 4LR is supported by NexusLinguarum COST Action (CA18209) – European network for Web-centered linguistic data science. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 4LR workshop at LDK 2023 will follow a related workshop ‘Lexicography and CEFR: Linking Lexicographic Resources and Language Proficiency Levels’ that will be held in conjunction with eLex 2023 on June 29 in Brno, Czech Republic.

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Call for Participation in Clinkart@EVALITA2023
by Begoña Altuna 12 May '23

12 May '23

[apologies for cross-posting] Call for Participation in Clinkart@EVALITA2023 Linking a Lab Result to its Test Event in the Clinical Domain ***SYSTEM SUBMISSION DEADLINE: MAY 19, 2023*** We invite you to participate in the Clinkart task on the extraction of relations from clinical cases. Clinkart is organised in the context of Evalita 2023 and the task mainly consists in identifying test results and measurements and linking them to the textual mentions of the laboratory tests and measurements from which they were obtained, as in the example below: All’ECG RS 66 bpm, deviazione assiale sinistra, BBD incompleto. 66 bpm → RS Check the website for more detailed information and for downloading the data: https://e3c.fbk.eu/clinkart. Participants are invited to submit their results by May 19th (by email to clinkart[at]fbk.eu). Each team is allowed to submit up to 2 different runs. Assessment of the results will be returned to the participants by May 30th. The evaluation dataset is based on the European Clinical Case Corpus (E3C), which consists of clinical cases in five European languages and is freely available (CC-BY-NC-4.0). Participants are encouraged to also use the data of the TESTLINK task (which focuses on Spanish and Basque) to train their systems (TESTLINK website: https://e3c.fbk.eu/testlinkiberlef). Join us! The Clinkart organising team

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IEEE BigData 2023
by Tsuyoshi Okita 12 May '23

12 May '23

#Sorry for the multiple posts ======================================================================== Call for Papers 2023 IEEE International Conference on Big Data (IEEE BigData 2023) http://bigdataieee.org/BigData2023/ December 15-18, 2023 – Sorrento, Italy ======================================================================== In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data. •The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://bigdataieee.org/BigData2013/) and the regular paper acceptance rate is 17.0%. •The IEEE Big Data 2020 (http://bigdataieee.org/BigData2020/, regular paper acceptance rate: 15.7%) was held online, Dec 10-13, 2020 with close to 1100 registered participants from 50 countries •The IEEE Big Data 2021 (http://bigdataieee.org/BigData2021/, regular paper acceptance rate: 19.9%) was held online, Dec 15-18, 2021 with close to 1089 registered participants from 52 countries •The IEEE Big Data 2022 (http://bigdataieee.org/BigData2022/, regular paper acceptance rate: 19.2%) was held in Osaka, Japan, Dec 17-20, 2022 with close to 1250 registered participants from 54 countries. The 2023 IEEE International Conference on Big Data (IEEE BigData 2023) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications. We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Osaka, Japan this year. Example topics of interest includes but is not limited to the following: 1.Big Data Science and Foundations a.Novel Theoretical Models for Big Data b.New Computational Models for Big Data c.Data and Information Quality for Big Data d.New Data Standards 2.Big Data Infrastructure a.Cloud/Grid/Stream Computing for Big Data b.High Performance/Parallel Computing Platforms for Big Data c.Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment d.Energy-efficient Computing for Big Data e.Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data f.Software Techniques and Architectures in Cloud/Grid/Stream Computing g.Big Data Open Platforms h.New Programming Models for Big Data beyond Hadoop/MapReduce, STORM i.Software Systems to Support Big Data Computing 3.Big Data Management a.Data Acquisition, Integration, Cleaning, and Best Practices b.Computational Modeling and Data Integration c.Large-scale Recommendation Systems and Social Media Systems d.Cloud/Grid/Stream Data Mining- Big Velocity Data e.Mobility and Big Data f.Multimedia and Multi-structured Data- Big Variety Data g.Compliance and Governance for Big Data 4.Big Data Search and Mining a.Social Web Search and Mining b.Web Search c.Algorithms and Systems for Big Data Search d.Distributed, and Peer-to-peer Search e.Big Data Search Architectures, Scalability and Efficiency f.Link and Graph Mining g.Semantic-based Data Mining and Data Pre-processing h.Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data 5.Big Data Learning and Analytics a.Predictive analytics on Big Data b.Machine learning algorithms for Big Data c.Deep learning for Big Data d.Feature representation learning for Big Data e.Dimension reduction for Big Data f.Physics informed Big Data learning g.Visualization Analytics for Big Data 6.Data Ecosystem a.Data ecosystem concepts, theory, structure, and process b.Ecosystem services and management c.Methods for data exchange, monetization, and pricing d.Trust, resilience, privacy, and security issues e.Privacy preserving Big Data collection/analytics f.Trust management in Big Data systems g.Ecosystem assessment, valuation, and sustainability h.Experimental studies of fairness, diversity, accountability, and transparency 7.Big Data Applications a.Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication b.Big Data Analytics in Small Business Enterprises (SMEs), c.Big Data Analytics in Government, Public Sector and Society in General d.Real-life Case Studies of Value Creation through Big Data Analytics e.Big Data as a Service f.Big Data Industry Standards g.Experiences with Big Data Project Deployments INDUSTRIAL & Government Track ------------------------------ The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages). The Government Track welcomes papers discussing the usefulness and need for publicly-contribution big data and open data and their use. Specifically, data utilization scenarios, needs analysis, data utilization obstacle analysis and solutions, data integration processes, interfaces as data utilization solutions, visualization, use cases, evidence-based policy making, building an ecosystem for solving social issues, analyzing their cases, comparing international and regional differences, and conducting comparative surveys before and after specific events (like Covid-19). We are also looking for other big data solutions related to national and local governments, and public services. Please submit an extended abstract (2-4 pages) OR a full-length paper (up to 10 pages) through the online submission page (Industrial & Government Track dedicated page) Paper Submission: ----------------- Please submit a full-length paper (up to 10 page IEEE 2-column format, reference pages counted in the 10 pages) through the online submission system. https://wi-lab.com/cyberchair/2023/bigdata23/index.php Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). https://www.ieee.org/conferences/publishing/templates.html Important Dates: ---------------- - Electronic submission of full papers: Sept 3, 2023 - Notification of paper acceptance: Oct 27, 2023 - Camera-ready of accepted papers: Nov 17, 2023 - Conference: Dec 15-18, 2023 ======================================================================== Tsuyoshi Okita Kyushu Institute of Technology AI department

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IACT’23@SIGIR: Deadline Extension
by Hugo Oliveira Sousa 11 May '23

11 May '23

*** Apologies for cross-posting *** ++ DEADLINE EXTENSION ++ ============================================================================================================================= The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. Workshop website: https://en.sce.ac.il/news/iact23 Date: July 27, 2023 Location: Taipei, Taiwan. Paper submission deadline: Extended to May 23, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models in recognizing and characterizing AI vs. human authors, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster scientific advances in all aspects of author characterization. Submission Guidelines: All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - Full research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics. - Short research papers: up to 5 pages. It can describe ongoing research, resources, and demos. - Negative results papers: up to 5 pages. Highlighting tested hypotheses that did not get the expected outcome is also welcomed. - Position papers: up to 5 pages. Discussing current and future research directions. The length constraints do not include references. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Workshop Format: The authors of accepted papers will be given 15 minutes for a short oral presentation. The workshop will run as a hybrid event to allow virtual attendance and meet the SIGIR format. Workshop Topics: Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Differentiation between AI-generated content and human-generated content and bot profiling - Characterization of conversational agents - Feature detection of authors for human vs. AI determination - Prompt understanding and recognition in language models - Personalized question-answering and conversation generation - Troll identification on social media - Review authenticity estimation - Multi-modal, multi-genre, and multilingual author analysis - Character analysis, description, and representation in narrative texts - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author characterization annotation schema - Evaluation of implicit author characterization - Author characterization in low-resource languages and under-studied domains - Accountability and regulation of AI-based information extraction, retrieval, and content generation - Copyright issues of AI-generated content - Ethical and privacy implications of author characterization and implicit information extraction - Fairness and bias of AI-generated content Organizing Committee: Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: Prof. Mark Last - Ben-Gurion University of the Negev, Israel Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany Contacts: Dr. Marina Litvak: litvak.marina(a)gmail.com Dr. Irina Rabaev: irinar(a)ac.sce.ac.il All the best, Hugo Sousa on behalf of the IATC'23 Organizers

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LREC-COLING 2024 - 1st Call for Papers
by info＠elda.org 11 May '23

11 May '23

[Apologies for multiple postings] LREC-COLING 2024 The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation Lingotto Conference Centre - Torino (Italy) 20-25 May, 2024 https://lrec-coling-2024.lrec-conf.org Twitter: @LrecColing2024 <https://twitter.com/LrecColing2024> *First Call for papers*** Two international key players in the area of computational linguistics, the ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL), are joining forces to organize the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) to be held in Torino, Italy on 20-25 May, 2024. *IMPORTANT DATES* (All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) * 22 September 2023: Paper anonymity period starts * 13 October 2023: Final submissions due (long, short and position papers) * 13 October 2023: Workshop/Tutorial proposal submissions due * 22–29 January 2024: Author rebuttal period * 5 February 2024: Final reviewing * 19 February 2024: Notification of acceptance * 25 March 2024: Camera-ready due * 20-25 May 2024: LREC-COLING2024 conference *SUBMISSION TOPICS * LREC-COLING 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of natural language and computation, language resources (LRs) and evaluation, including spoken and sign language and multimodal interaction. Submissions are invited in five broad categories: (i) theories, algorithms, and models, (ii) NLP applications, (iii) language resources, (iv) NLP evaluation and (v) topics of general interest. Submissions that span multiple categories are particularly welcome. *(i) Theories, algorithms, and models* * Discourse and Pragmatics * Explainability and Interpretability of Large Language Models * Language Modeling * CL/NLP and Linguistic Theories * CL/NLP for Cognitive Modeling and Psycholinguistics * Machine Learning for CL/NLP * Morphology and Word Segmentation * Semantics * Tagging, Chunking, Syntax and Parsing * Textual Inference *(ii) NLP applications* * Applications (including BioNLP and eHealth, NLP for legal purposes, NLP for Social Media and Journalism, etc.) * Dialogue and Interactive Systems * Document Classification, Topic Modeling, Information Retrieval and Cross-Lingual Retrieval * Information Extraction, Text Mining, and Knowledge Graph Derivation from Texts * Machine Translation for Spoken/Written/Sign Languages, and Translation Aids * Sentiment Analysis, Opinion and Argument Mining * Speech Recognition/Synthesis and Spoken Language Understanding * Natural Language Generation, Summarization and Simplification * Question Answering * Offensive Speech Detection and Analysis * Vision, Robotics, Multimodal and Grounded Language Acquisition *(iii) Language resource design, creation, and use: text, speech, sign, gesture, image, in single or multimodal/multimedia data* * Guidelines, standards, best practices and models for LRs, interoperability * Methodologies and tools for LRs construction, annotation, and acquisition * Ontologies, terminology and knowledge representation * LRs and Semantic Web (including Linked Data, Knowledge Graphs, etc.) * LRs and Crowdsourcing * Metadata for LRs and semantic/content mark-up * LRs in systems and applications such as information extraction, information retrieval, audio-visual and multimedia search, speech dictation, meeting transcription, Computer-Aided Language Learning, training and education, mobile communication, machine translation, speech translation, summarisation, semantic search, text mining, inferencing, reasoning, sentiment analysis/opinion mining, (speech-based) dialogue systems, natural language and multimodal/multisensory interactions, chatbots, voice-activated services, etc. * Use of (multilingual) LRs in various fields of application like e-government, e-participation, e-culture, e-health, mobile applications, digital humanities, social sciences, etc. * LRs in the age of deep neural networks * Open, linked and shared data and tools, open and collaborative architectures * Bias in language resources * User needs, LT for accessibility *(iv) NLP evaluation methodologies* * NLP evaluation methodologies, protocols and measures * Benchmarking of systems and products * Evaluation metrics in Machine Learning * Usability evaluation of HLT-based user interfaces and dialogue systems * *User satisfaction evaluation* ** *(v) Topics of general interest* * Multilingual issues, language coverage and diversity, less-resourced languages * Replicability and reproducibility issues * Organisational, economical, ethical and legal issues * Priorities, perspectives, strategies in national and international policies * International and national activities, projects and initiatives LREC-COLING 2024 invites high-quality submissions written in English. Submissions of three forms of papers will be considered: A. Regular long papers - up to eight (8) pages maximum*, presenting substantial, original, completed, and unpublished work. B. Short papers - up to four (4) pages*, describing a small focused contribution, negative results, system demonstrations, etc. C. Position papers - up to eight (8) pages*, discussing key hot topics, challenges and open issues, as well as cross-fertilization between computational linguistics and other disciplines. * Excluding any number of additional pages for references, ethical consideration, conflict-of-interest, as well as data and code availability statements. Appendices or supplementary material will be allowed ONLY in the final, camera-ready version, but not during submission, as papers should be reviewed without the need to refer to any supplementary materials. Linguistic examples, if any, should be presented in the original language but also glossed into English to allow accessibility for a broader audience. Note that paper types are decisions made orthogonal to the eventual, final form of presentation (i.e., oral versus poster). *AUTHOR RESPONSIBILITIES* Papers must be of original, previously-unpublished work. Papers must be anonymized to support double-blind reviewing. Submissions thus must not include authors’ names and affiliations. The submissions should also avoid links to non-anonymized repositories: the code should be either submitted as supplementary material in the final version of the paper, or as a link to an anonymized repository (e.g., Anonymous GitHub <https://anonymous.4open.science/> or Anonym Share <https://anonymshare.com/>). Papers that do not conform to these requirements will be rejected without review. If the paper is available as a preprint, this must be indicated on the submission form but not in the paper itself. In addition, LREC-COLING 2024 will follow the same policy as ACL conferences establishing an anonymity period during which non-anonymous posting of preprints is not allowed. More specifically, direct submissions to LREC-COLING 2024 may not be made available online (e.g. via a preprint server) in a non-anonymized form after September 22, 11:59PM UTC-12:00 (for arXiv, note that this refers to submission time). Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. Papers that have been or will be under consideration for other venues at the same time must be declared at submission time. If a paper is accepted for publication at LREC-COLING 2024, it must be immediately withdrawn from other venues. If a paper under review at LREC-COLING 2024 is accepted elsewhere and authors intend to proceed there, the LREC-COLING 2024 committee must be notified immediately. *ETHICS STATEMENT * We encourage all authors submitting to LREC-COLING 2024 to include an explicit ethics statement on the broader impact of their work, or other ethical considerations after the conclusion but before the references. The ethics statement will not count toward the page limit (8 pages for long, 4 pages for short papers). *PRESENTATION REQUIREMENT * All papers accepted to the main conference track must be presented at the conference to appear in the proceedings, and at least one author must register for LREC-COLING2024. All papers accepted to the main conference will be required to submit a presentation video. The conference will be hybrid, with an emphasis on encouraging interaction between the online and in-person modalities, and thus presentations can be either on-site or virtual.

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2nd CFP: Diversity-Aware Hybrid Human-Artificial Intelligence / Workshop, Shared Task, Special Issue / Deadline: May 15th
by Loizos Michael 11 May '23

11 May '23

Dear colleagues, The HHAI 2023 Workshop on Diversity-Aware Hybrid Human-Artificial Intelligence<https://www.internetofus.eu/diversity-aware-hybrid-human-artificial-intelli…> (including a special session / shared task on the analysis of social interaction data<https://www.internetofus.eu/empirical-studies-on-hybrid-human-artificial-in…>) is accepting short papers / extended abstracts on interdisciplinary work by May 15th. Submission through EasyChair: https://easychair.org/conferences/?conf=dhhai2023 Publication of accepted papers: HHAI 2023 CEUR workshop post-proceedings. Extended versions of selected workshop / shared-task papers will be invited to: the DHHAI Special Issue of AI Communications: The European Journal on AI<https://www.internetofus.eu/ai-communications-the-european-journal-on-ai-sp…>. Regards, Loizos

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[CfP] SEMANTiCS 2023 EU || Extended Submission Deadline May 23, 2023
by Maribel Acosta & Silvio Peroni 11 May '23

11 May '23

Dear all, due to several requests we decided to extend the deadlines for the R&I track. The new dates are as follows: Abstract Submission Deadline: May 23, 2023 (11:59 pm, Hawaii time - originally May 9) Paper Submission Deadline: May 30, 2023 (11:59 pm, Hawaii time - originally May 16) Notification of Acceptance: June 20, 2023 (11:59 pm, Hawaii time) Camera-Ready Paper: July 04, 2023 (11:59 pm, Hawaii time) For details please go to: https://2023-eu.semantics.cc/page/cfp_rev_rep Looking forward to your submissions! Stay tuned and stay safe! With kind regards, Maribel Acosta & Silvio Peroni -- R&I Track Chairs --

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CFP: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023)
by El-Haj, Mo 11 May '23

11 May '23

Free registration is now open https://bit.ly/3pwUwlG - tickets are limited and open to non-authors. Call for Abstracts: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023) Dear all, join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University. We welcome researchers and practitioners to submit abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages. The extended versions of the accepted abstracts will appear in the Computing Research Repository (CoRR), subject to the number of abstracts received and being in English. Although the workshop will be conducted in English, for the first time, we are accepting submissions in a different language, starting with Arabic. Arabic speaking authors, are encouraged to submit their abstracts in Arabic. Presentations will be recorded with subtitles pre-added in by the authors. The organisers will live translate the Q&As. We plan to extend this option to other languages in future events. Due to lack of resources we are unable to provide live translation from English to Arabic during the workshop but we are open for free-of-charge solutions (please send suggestion to the organisers directly). The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop. Important Dates: - Due date for workshop abstract submission: July 17, 2023 - Notification of abstract acceptance to authors: August 1, 2023 - Workshop date: September 5, 2023 (online event) We are pleased to announce the following keynote speakers for the workshop: - Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan. - Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco. The main objectives of the workshop are three-fold: 1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy. 2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges. 3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages. Abstract submission: Abstract submission page is now open, please submit abstracts of no more than 500 words either in English or Arabic https://easychair.org/conferences/?conf=rlrl2023 Topics of interest include, but are not limited to: - Machine learning for text readability - Applications of readability assessment - Readability in low-resource languages - Comprehensibility measures - Mathematical representations of readability levels - Text simplification for low-resource languages - Readability and comprehensibility in language learning - The effects of text simplification on readability - Readability frameworks for indigenous languages - Updating readability representations We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023. RLRL 2023 Organisers: - Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University) - Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University) - Prof. Hend Al Khalifa (iWAN, King Saud University) https://wp.lancs.ac.uk/acc/rlrl2023/ Best wishes, Mahmoud --------------------- Dr Mo El-Haj Senior Lecturer in NLP Co-Director of UCREL NLP Group Strategic Lead of Arabic and Financial NLP Research School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj

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[Deadline Extended]: The SIGIR '23 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF)
by Xiaomo Liu 11 May '23

11 May '23

*Updated the deadlines* - Paper submission deadline: May 21, 2023 AoE - Submission notification date: May 31, 2023 *==============================================================================================* *The SIGIR '23 Workshop on Knowledge Discovery from Unstructured Data in Financial Services (KDF)* Artificial intelligence (AI) and information retrieval (IR) systems and techniques have been widely adopted in financial services to tackle various tasks, such as information retrieval from business documents, retrieval from non-textual content like tables and graphs, recommending financial products and services to customers, providing decision support for investment practices, automating of due diligence protocols, detecting fraudulent transactions, financial sentiment analysis on social media, and understanding Environmental, Social and Governance (ESG) impact on investment practices. Knowledge from IR systems can help augment human intelligence. However, discovering and extracting the knowledge conveyed inside unstructured financial data, like SEC filings, prospectuses, business reports, and other enterprise documents are extremely challenging due to the massive volume of data, large variation in the data format, low signal-to-noise ratio, scarcity of expert annotated datasets, task ambiguity, hurdles regarding data integrity and privacy, robustness against domain shift, and high-performance requirements set by industry and regulatory standards. Manual extraction of knowledge is usually inefficient, error-prone, and inconsistent, so it is one of the key technical bottlenecks for financial services companies to accelerate their operating productivity. These challenges and issues call for robust artificial intelligence, information retrieval, and machine learning algorithms and systems to help. The automated processing of unstructured data to discover knowledge from complex financial documents requires bringing together a suite of techniques such as natural language processing, information retrieval, semantic analysis, and complex reasoning. In addition, how knowledge is captured and represented, synthesized across diverse sources, and used within AI systems, is crucial to developing effective solutions in financial services. Furthermore, based on the reflections and feedback from our past KDF workshops, the 2023 workshop is particularly interested in multi-modal understanding of financial documents, retrieving and reasoning over tabular data within financial documents, and financial domain-specific representation learning. The workshop will be composed of three components: invited talks, paper presentations, along with a shared task competition. We cordially welcome researchers, practitioners, and students from academic and industrial communities who are interested in the topics to participate and/or submit their original work. *The workshop will be a hybrid event – supporting both in-person and virtual participation.* Topics of Interest The topics of the workshop include, but are not limited to, the following areas: - AI and IR technologies for business document understanding for financial corpora, including searching and question answering systems, understanding and reasoning over non-textual content such as tables and graphs; - representation learning, and distributed representation learning and encoding in natural language processing for financial documents; - language modeling on financial corpora including tabular and numerical data, and multi-modal modeling; - multi-source knowledge integration and fusion, and knowledge alignment and integration from heterogeneous data; - reconciling unstructured knowledge with structured knowledge and human expertise; - named-entity disambiguation, recognition, resolution, relationship discovery, ontology learning and extraction in financial and business documents; - AI-assisted domain data tagging, labeling, and annotation for IR tasks; automatic data extraction from financial filings and quality verification; - corporate ESG event discovery, evaluation, and impact assessment; - event discovery from alternative data and impact on corporate equity pricing; - AI and IR systems for financial risk assessment on financial legal documents such as contracts and prospectuses; - verifying facts and statements generated by large pre-trained language models using IR and knowledge discovery; - IR or QA techniques and applications on financial documents leveraging large language models. Submission GuidelinesWe invite submissions of relevant work that be of interest to the workshop. All submissions must be original contributions that have not been previously published and that are not currently under review by other conferences or journals. Submissions will be peer reviewed, single-blinded. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. All submissions must be in PDF format and follow the current ACM two-column conference format https://www.acm.org/publications/proceedings-template. We accept two types of submissions:· full research paper: no longer than 9 pages (including references, proofs, and appendixes).· short/poster paper: no longer than 4 pages (including references, proofs, and appendixes).Submission will be accepted via Microsoft CMT https://cmt3.research.microsoft.com/KDF2023/. All accepted submissions will be presented in the workshop. Submission will be non-archival, and the authors may post their work on arXiv or other online repositories.Important Dates - Paper abstract due (optional): May 1, 2023 AoE - Paper submission deadline: May 21, 2023 AoE - Submission notification date: May 31, 2023 - Workshop: July 27, 2023 Organizing Committee· Sameena Shah - JPMorgan AI Research· Xiaodan Zhu - Queen's University· Wenhu Chen - University of Waterloo· Manling Li - University of Illinois Urbana-Champaign· Armineh Nourbakhsh - JPMorgan AI Research· Xiaomo Liu - JPMorgan AI Research · Zhiqiang Ma - JPMorgan AI Research· Charese Smiley - JPMorgan AI Research· Yulong Pei - JPMorgan AI Research· Akshat Gupta - JPMorgan AI ResearchWorkshop Website http://kdf-workshop.github.io/kdf23 *Contact* For general inquiries about KDF, please write to the organizers at kdf.workshop(a)gmail.com. -- Best, Xiaomo

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