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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 Original and high-quality unpublished contributions to the theory and practical aspects of the workshop topics.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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eLex 2023: Invisible Lexicography - Call for papers
by Miloš Jakubíček 10 May '23

10 May '23

(apologies for multiple postings) *CALL FOR PAPERS* <https://elex.link/elex2023/call-for-papers/> *eLex 2023: Electronic lexicography in the 21st century.* The topic of next year's conference is Invisible Lexicography. Dates: 27-29 June 2023 (with workshops on June 26th) Venue: Hotel Passage, Brno, Czechia Deadline for abstract submissions: January 31st 2023 Conference website: https://elex.link/elex2023/ Language of the conference: English Format: The conference will be organized as a hybrid event and while we encourage everyone to participate on-site, we plan to provide live streaming and recording of the event for registered participants. Looking forward to seeing you all in Brno, Miloš Jakubíček in the name of the organising committee

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IACT’23@SIGIR: deadline extension to May 23
by Marina Litvak 10 May '23

10 May '23

[Apologies if you receive multiple copies of this CFP] ===================================== --*Call for Papers: 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 July 27, 2023. 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. 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. 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. 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 Contact: - Dr. Marina Litvak: litvak.marina(a)gmail.com - Dr. Irina Rabaev: irinar(a)ac.sce.ac.il -- Best regards, Marina Litvak

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PhD position: Realistic Conversational Agent, Paris area, France
by Gaël de Chalendar 10 May '23

10 May '23

The goal of this PhD will be to create a realistic conversational agent with a "personality". The generation model will have to take into account a description of the agent's knowledge about the world, about itself and about the conversation in progress in order to generate coherent responses. This external knowledge must be easily replaced or updated. The conversational agent produced will be developed within the framework of the Cortex² European project aiming, among other things, to produce tools that facilitate the experience of online meetings. - Supervisor: Gaël de Chalendar (CEA) - Director : Nasredine Semmar (CEA) - Employer : CEA, French public research organization - Location : Nano Innov, Paris-Saclay University, Palaiseau, France - Working conditions : full time, telecommuting (100 days/year, max 3 days/ week), 5 weeks of annual leave + 23 other days, subsidized meals, partial reimbursement of public transportation, social security coverage - Detailed description of the subject: https://instn.cea.fr/these/agent-conversationnel-realiste/ - Deadline for applications: June 4, 2023 - Start of the PhD: from September 1st, 2023 - Duration of the PhD: 3 years To candidate: gael.de-chalendar(a)cea.fr -- Gael de Chalendar CEA LIST Laboratoire d'Analyse Sémantique Texte et Image (Text and Image Semantic Analysis Laboratory) CEA Saclay Nano-INNOV DRT/LIST/DIASI/SIALV BAT 861 PC 184 F-91191 Gif-sur-Yvette Cedex Tél.:+33.1.69.08.01.50 Fax:+33.1.69.08.01.15 Email : Gael.D.O.T.de-Chalendar.A(a)T.cea.D.O.T.fr

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Job Opening for Senior Data Scientist (Remote - NLP for medical domain and life sciences)
by Ehsan Khoddam Mohammadi 10 May '23

10 May '23

*Title:* Senior Data Scientist (Remote) Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R *What You'll Do* - Adopt the latest technologies and trends in NLP to your platform - Experience with training, fine-tuning, and serving Large Language Models - Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings - Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data - Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading - Deeply understand and analyze our data model per data source and geo-region and interpret model decisions - Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation. We have more than 1900 curators! - Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production *Requirements* - 4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree) - Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field - Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques - Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar - Familiarity with large-scale data processing and analysis, preferably within the medical domain - Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers) - Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX) - Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) and experience with bashing script - Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team - Used to start-up environments - Social competence and a team player - High energy and ambitious - Agile mindset *You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.About Link: Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.* *About Veeva:* Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities. Application links *Netherlands* <https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7> [ https://jobs.lever.co/veeva/a6c967ac-5bbb-412b-9c3d-b72d709b8da7] *Germany <https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a> *[ https://jobs.lever.co/veeva/e73b2147-5e3c-41cf-8f9e-db64dcdd1d3a] Linkedin: https://www.linkedin.com/posts/activity-7061693573410254848-wJ6R Ehsan Khoddam Data Science Manager at Veeva Systems Inc.

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