April 2024 - Corpora

Research Fellow position, University of Essex, UK- deadline April 21
by Ravi Shekhar 15 Apr '24

15 Apr '24

Dear All, We are seeking a passionate and motivated Research Fellow at the University of Essex, UK. You will be working on the EU/UKRI funded ELOQUENCE project <https://eloquenceai.eu/>. The funding is available until 31 December 2026. We are interested in attracting a researcher working on Natural Language Processing, Speech Processing, and Machine Learning/AI. Some areas of interest include (but not limited to) - Multimodel foundation model to combine text, speech and vision. - Multi-lingual text and speech processing - Factual retrieval-augmented generation - Human feedback incorporation using HCI techniques. - Ethics dimension of AI in real-world use cases You will be responsible for developing, validating, and deploying a deep-learning model. You will need experience building deep learning models using established tools (e.g., PyTorch) and proficiency in Python. You should also have, or be close to completing, a Ph.D. in computer science or a related field. You will have opportunities to develop your research interests, collaborate with other project partners, and present work in international conferences/journals. *Application Deadline: 21 April 2024 (Application details <https://www.jobs.ac.uk/job/DGX705/senior-research-officer>) * Informal inquiries about the position can be made to Prof. Haris Mouratidis and Dr. Ravi Shekhar (e-mail: {h.mouratidis and r.shekhar}(a)essex.ac.uk) -- Ravi Ravi Shekhar Lecturer, University of Essex, UK http://shekharravi.github.io/

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SIGDIAL 2024: Second Call for Papers
by Ultes, Stefan 15 Apr '24

15 Apr '24

The 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) will be held in Kyoto, Japan on September 18-20, 2024. SIGDIAL will be co-located with INLG which will take place after SIGDIAL in Tokyo, Japan. The SIGDIAL venue provides a regular forum for the presentation of cutting-edge research in dialogue and discourse to both academic and industry researchers, continuing a series of 24 successful previous meetings. The conference is sponsored by the SIGDIAL organization - the Special Interest Group in discourse and dialogue for ACL and ISCA. * Topics of Interest * We welcome formal, corpus-based, implementation, experimental, or analytical work on discourse and dialogue including, but not restricted to, the following themes: - Discourse Processing: Rhetorical and coherence relations, discourse parsing and discourse connectives. Reference resolution. Event representation and causality in narrative. Argument mining. Quality and style in text. Cross-lingual discourse analysis. Discourse issues in applications such as machine translation, text summarization, essay grading, question answering and information retrieval. Discourse issues in text generated by large language models. - Dialogue Systems: Task oriented and open domain spoken, multimodal, embedded, situated, and text-based dialogue systems, their components, evaluation and applications, Knowledge representation and extraction for dialogue, State representation, tracking and policy learning. Social and emotional intelligence, Dialogue issues in virtual reality and human-robot interaction. Entrainment, alignment and priming. Generation for dialogue, Style, voice, and personality. Safety and ethics issues in Dialogue. - Corpora, Tools and Methodology: Corpus-based and experimental work on discourse and dialogue, including supporting topics such as annotation tools and schemes, crowdsourcing, evaluation methodology and corpora. - Pragmatic and Semantic Modeling: Pragmatics and semantics of conversations (i.e., beyond a single sentence), e.g., rational speech act, conversation acts, intentions, conversational implicature, presuppositions. - Applications of Dialogue and Discourse Processing Technology. * Special Session * SIGDIAL 2024 invites work on the special session “GEMINI - Graph-based knowledge for Modelling Intelligent Natural Interaction” that focuses on knowledge and knowledge modeling for dialogue systems, in particular on the opportunities and challenges for enhancing and stabilizing dialogue capabilities of chatbots, robots, and virtual agents with the use of LLMs. * Submissions * The program committee welcomes the submission of long papers, short papers, and demo descriptions. Submitted long papers may be accepted for oral or for poster presentation. Accepted short papers will be presented as posters. - Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be no longer than 8 pages, including title, text, figures and tables. An unlimited number of pages is allowed for references and appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution; a negative result; or an interesting application nugget. Short papers should be no longer than 4 pages including title, text, figures and tables. An unlimited number of pages is allowed for references and appendices, and an extra page is allowed in the final version to address reviewers’ comments. - Demo descriptions should be no longer than 4 pages including title, text, examples, figures, tables and references. A separate one-page document should be provided to the program co-chairs for demo descriptions, specifying furniture and equipment needed for the demo. Note that content that is an important part of the contribution or that is important for the reviewers to assess the technical correctness of the work should be a part of the main paper, and not appear in appendices. Reviewers are not required to consider material in appendices. Authors are encouraged to also submit additional accompanying materials, such as corpora (or corpus examples), demo code, videos and sound files. * Multiple Submissions * SIGDIAL 2024 cannot accept work for publication or presentation that will be (or has been) published elsewhere and that have been or will be submitted to other meetings or publications whose review periods overlap with that of SIGDIAL. Any questions regarding submissions can be sent to program-chairs [at] sigdial.org. * Blind Review * Building on previous years’ move to anonymous long and short paper submissions, SIGDIAL 2024 will follow the ACL policies for preserving the integrity of double-blind review (see author guidelines: https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines). Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. * Submission Format * All long, short, and demonstration submissions must follow the two-column ACL format, which are available as an Overleaf template (https://www.overleaf.com/read/crtcwgxzjskr) and also downloadable directly (Latex and Word) (https://github.com/acl-org/acl-style-files). Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. * Submission Deadline * SIGDIAL will accept regular submissions through the Softconf/START system, as well as commitment of already reviewed papers through the ACL Rolling Review (ARR) system. * Regular submission * Authors have to fill in the submission form in the Softconf/START system and upload an initial pdf of their papers before May 17, 2024 (23:59 GMT-11). Details and the submission link will be posted on the conference website (https://2024.sigdial.org/). Submission via ACL Rolling Review (ARR, https://aclrollingreview.org/) Please refer to the ARR Call for Papers (https://aclrollingreview.org/cfp ) for detailed information about submission guidelines to ARR. The commitment deadline for authors to submit their reviewed papers, reviews, and meta-review to SIGDIAL 2024 is June 19, 2024. Note that the paper needs to be fully reviewed by ARR in order to make a commitment, thus the latest date for ARR submission will be April 15, 2024. * Mentoring * Acceptable submissions that require language (English) or organizational assistance will be flagged for mentoring, and accepted with a recommendation to revise with the help of a mentor. An experienced mentor who has previously published in the SIGDIAL venue will then help the authors of these flagged papers prepare their submissions for publication. * Best Paper Awards * In order to recognize significant advancements in dialogue/discourse science and technology, SIGDIAL 2024 will include best paper awards. All papers at the conference are eligible for the best paper awards. A selection committee consisting of prominent researchers in the fields of interest will select the recipients of the awards. SIGDIAL 2024 Program Committee Vera Demberg and Stefan Ultes Conference Website: https://2024.sigdial.org/

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The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering (IEEE Mobile Cloud 2024): Last Call for Papers
by Announce 15 Apr '24

15 Apr '24

*** Last Call for Papers *** IEEE Mobile Cloud 2024 The 12th IEEE International Conference on Mobile Cloud Computing, Services and Engineering July 15-18, 2024 | Shanghai, China https://ieeemobilecloud.com (*** Submission Deadline: April 30th, 2024 AoE (extended) ***) IEEE Mobile Cloud is a pioneering IEEE sponsored international conference devoted to the research in mobile, edge, and cloud computing. It covers all aspects of mobile, edge, and cloud computing from architectures, techniques, tools and methodologies to applications. This year's conference is scheduled to take place in Shanghai, China, from 15-18 July 2024. IEEE Mobile Cloud 2024 is part of the IEEE International Congress On Intelligent And Service- Oriented Systems Engineering offering a broad spectrum of international events, sharing renowned keynotes and fostering exchange among researchers and practitioners (see common homepage for all colocated events, https://ieee-cisose-congress.org). The fusion of mobile communications, computing, and intelligence is catalysing the emergence of innovative systems and applications that facilitate intelligent resource provisioning, process extensive data from mobile sensors and interconnected hardware platforms, and bolster the Internet of Things (IoT) through robust edge and cloud-based backend infrastructure. The pivotal role of current and forthcoming communication technologies, machine learning implementation, and mobile cloud infrastructures as facilitators for this convergence cannot be understated. These mobile intelligent applications are poised to revolutionise various facets of daily life, encompassing domains such as transportation, e-commerce, healthcare, smart homes, smart cities, social interaction, and more. Mobile intelligence serves as an inclusive platform for both academic and industrial researchers to share their latest research insights, experimental findings, and the latest advancements in industry technologies related to mobile systems, machine learning, edge and cloud computing, services, and engineering. Leveraging the synergy of mobile communications, machine intelligence, edge computing, and edge/cloud infrastructures, the future of Mobile Intelligence Systems is envisioned to provide a multitude of critical and personalised services across diverse application domains, ranging from education, transportation, to public health, safety, and security. Submissions will be evaluated on the criteria of originality, significance, clarity, relevance, and accuracy. TOPICS OF INTEREST They include but not limited to: Theory, Modelling, and Methodologies • Mobile cloud computing models, architectures, infrastructures, and platforms • Mobile intelligence theories, concepts, algorithms, and methodologies • Mobile cloud data management • Mobile cloud tools, middleware, and data centres • Mobile intelligence as a service • Mobile networking, protocols, and technologies • Quality of service (QoS) • Mobile intelligence security and privacy Applications and Industry Practice • Mobile intelligence for autonomous driving systems, V2X, intelligent transportation systems (ITS), telematics • Mobile intelligence for robotics, unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs) • Mobile intelligence for sensor networks, Industrial IoT, industrial 4.0, and industry 5.0 • Mobile intelligence for future wireless technologies, 5G/6G, WiFi, Satellite, etc. • Mobile intelligence for aviation, airports, and railway • Mobile intelligence for Augmented Reality/Virtual Reality (AR/VR) • Mobile intelligence for computer vision and video analytics • Mobile intelligence for surveillance and disaster management • Mobile intelligence for healthcare • Mobile intelligence for the metaverse • Mobile intelligence for smart city • Mobile intelligence for satellite • Mobile intelligence for mission-critical systems • Mobile intelligence for community services and social networking • Mobile intelligence computing for sustainable development PAPER SUBMISSION GUIDELINES Papers must be written in English. All papers must be prepared in the IEEE double column proceedings format. Please see the following link for details: https://www.ieee.org/conferences/publishing/templates.html . All accepted conference papers will be published by IEEE Computer Society and IEEE Explore digital library with EI-index. Selected papers will be recommended to SCI-index journals as special issue papers. The paper length should be up to 8 pages for regular conference papers and 6 pages for work-in-progress papers. Submitted papers should contain original work and not being submitted elsewhere. Each paper must be presented by an author at the conference. Presentations via teleconference are not permitted. Permissions to have the paper presented by a qualified substitute presented may be granted by the TCP Chairs under extraordinary circumstances, upon written request. Submissions should be made via Easy Chair using the following link: https://easychair.org/my/conference?conf=imc24 . IMPORTANT DATES • Abstract submission: March 31st, 2024 (AoE) • Paper submission: April 30th, 2024 (AoE) (extended) • Notification of acceptance: May 15th, 2024 • Final manuscript submission: May 22nd, 2024 • Author registration: May 22nd, 2024 • Conference: July 15th-18th, 2024 COMMITTEES General Chairs • Hiroyuki Sato, University of Tokyo, Japan • Yan Bai, University of Washington Tacoma, USA Program Chairs • Lan Zhang, Clemson University, USA • Sun Yao, The University of Glasgow, Scotland, UK • Tomoki Watanabe, Kanagawa Institute Technology, Japan • Fan Wu, Shanghai Jiao Tong University, China Publicity Chair George Angelos Papadopoulos, University of Cyprus, Cyprus Program Committee • Ouri Wolfson, University of illinois • Felix Beierle, University of Würzburg • Thomas Richter, Rhein-Waal University of Applied Sciences • Dan Grigoras, University College Cork • Sergio Ilarri, University of Zaragoza • Iulian Sandu Popa, University of Versailles Saint-Quentin & INRIA Saclay-Ile-de-France • Haiping Xu, University of Massachusetts Dartmouth • Prasad Calyam, University of Missouri • Dana Petcu, West University of Timisoara • Fabio Costa, Federal University of Goias • Cristian Borcea, New Jersey Institute of Technology • Lei Huang, Prairie View A&M University • Chunsheng Zhu, Southern University of Science and Technology • Xuyun Zhang, Macquarie University • Jia Zhao, Changchun Institute of Technology • Richard Han, University of Colorado Boulder CISOSE General Chairs • Jerry Gao, San Jose State University, USA • Iraklis Varlamis, Harokopio University of Athens, Greece CISOSE Steering Committee • Jerry Gao, San Jose State University, USA • Guido Wirtz, University of Bamberg, Germany • Huaimin Wang, NUDT, China • Jie Xu, University of Leeds, UK • Wei-Tek Tsai, Arizona State University, USA • Axel Kupper, TU Berlin, Germany • Hong Zhu, Oxford Brookes University, UK • Longbin Cao, University of Technology Sydney, Australia • Cristian Borcea, New Jersey Institute of Technology, USA • Sato Hiroyuki, University of Tokyo, Japan

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2-year postdoc in quantitative text analysis/ NLP
by Stephanie Dornschneider-Elkink 15 Apr '24

15 Apr '24

*Two-year fully funded postdoctoral position in quantitative text analysis/ NLP* *Location:* University College Dublin, School of Politics and International Relations *Start date:* 1st September, 2024 *Deadline:* 12th May, noon, 2024 University College Dublin is currently recruiting a post-doctoral researcher to implement natural language processing (NLP) tools to analyse interview data. The main objective of this position is to develop tools to identify and analyse so-called cognitive maps (Axelrod 1976) from interview data. Dornschneider and Henderson (2016, 2023) and Dornschneider (2019) have developed tools for the computational analysis of cognitive maps. What is needed is a set of tools to infer cognitive maps from natural language. This Irish Research Council funded project investigates the role of women in Muslim resistance movements, based on Arabic interviews conducted by the Principal Investigator. The cognitive mapping analysis has several main objectives: 1- to show typical behavioral decisions (e.g. to join a resistance movement) described by the interviewees; 2- to identify common reasoning processes related to these decisions; and 3- to trace the role of religious beliefs in these reasoning processes. You will work with the PI, Dr. Stephanie Dornschneider-Elkink, to deliver the research objectives of the project. You will support the development and subsequent publication of new tools to convert text into cognitive maps. Tasks will include but are not limited to POS tagging, sequence analysis, word embeddings, and visualization. You will have the chance to give substantial input to the analysis and to co-author papers with the PI. Full ad*:* https://my.corehr.com/pls/coreportal_ucdp/apply?id=017201 *References* Axelrod, R. (ed.). 1976. *Structure of decision: The cognitive maps of political elites*. Princeton: Princeton university press. Dornschneider-Elkink, S. and Henderson, N., 2023. Repression and Dissent: How Tit-for-Tat Leads to Violent and Nonviolent Resistance. *Journal of Conflict Resolution*, p.00220027231179102. https://doi.org/10.1177/0022002714540473 Dornschneider, S., 2019. High‐Stakes Decision‐Making Within Complex Social Environments: A Computational Model of Belief Systems in the Arab Spring. *Cognitive Science*, *43*(7), p.e12762. https://doi.org/10.1111/cogs.12762 Dornschneider, S. and Henderson, N., 2016. A computational model of cognitive maps: Analyzing violent and nonviolent activity in Egypt and Germany. *Journal of Conflict Resolution*, *60*(2), pp.368-399. -- Dr Stephanie Dornschneider-Elkink Assistant Professor, School of Politics & International Relations (SPIRe) University College Dublin Newman Building, F316, Belfield, Dublin 4, Ireland http://www.dornschneider.net/

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Deadline extension (May 15th) SEPLN BEST 2023 THESIS AWARD
by aitziber.atucha＠ehu.eus 15 Apr '24

15 Apr '24

[Apologies for cross-posting] 23rd EDITION OF THE SEPLN AWARD TO THE BEST DOCTORAL THESIS IN NATURAL LANGUAGE PROCESSING [EXTENSION: May 15nd, 2024] The Spanish Society for Natural Language Processing announces the 23rd Edition of the SEPLN Award for the Best Doctoral Thesis in Natural Language Processing, which will be governed by the following bases: 1.- The purpose of this award is the promotion and dissemination of research in the field of natural language processing. 2.- The thesis will be awarded with a compact laptop (tablet) and €300 for attendance at the congress. The award will be presented at the 40th International Congress of the Spanish Society of Natural Language Processing (SEPLN 2024), after a brief presentation of the award-winning work by the author. 3.- In order to compete, the author of the doctoral thesis must be a member of the SEPLN at the time of submitting the work. No contestant may participate as author in more than one work. 4.- Doctoral theses read during the year 2023, written in a language of the Spanish State or in English, may be submitted to the competition. In addition to the complete thesis, it is essential to send: a) a 4-page summary of the thesis, clearly describing the topic and the relevance of the research, the objectives, methods, results achieved and contributions. b) a brief description of the scientific career of the author of the thesis, detailing the participation in scientific activities such as organization of competitive tasks, congresses, generation of open access resources such as sets of data, language models, etc., and participation in projects, contracts, and/or patents. The quality of the presentation, the technical and methodological correctness, the relevance, originality, the generation, evaluation and publication of resources, as well as the research trajectory during the pre-doctoral period will be the criteria used for the award of the prize by the jury. The works will be submitted through the website of the Society's magazine (http://journal.sepln.org) in PDF format before May 15nd 2024. The final decision will be communicated during the 40th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2024). Submission instructions (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) For more information aitziber.atucha(a)ehu.eus EDICIÓN XXIII PREMIO SEPLN A LA MEJOR TESIS DOCTORAL EN PROCESAMIENTO DEL LENGUAJE NATURAL [EXTENSIÓN: 15 de mayo de 2024] La Sociedad Española para el Procesamiento del Lenguaje Natural convoca la Edición XXIII del Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural, que se regirá por las siguientes bases: 1.- La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural. 2.- La tesis será premiada con una computadora portátil compacta (tablet) y 300€ para la asistencia al congreso. Se dará entrega del premio en el 40 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2024), tras una breve presentación del trabajo premiado por parte del autor. 3.- Para poder concursar, el autor de la tesis doctoral debe ser socio de la SEPLN en el momento de presentar el trabajo. Ninguna persona concursante podrá participar como autora en más de un trabajo. 4.- Se podrán presentar a concurso tesis doctorales leídas durante el año 2023, escritas en una lengua del Estado español o en lengua inglesa. Además de la tesis completa, es imprescindible enviar: a.- Un breve resumen de 4 páginas donde claramente se indique el tema y la relevancia de la investigación, los objetivos, métodos, resultados alcanzados y contribuciones. b.- Una breve descripción de la trayectoria científica del autor de la tesis, en la que se describa la participación en actividades científicas como organización de de tareas competitivas, congresos, generación de recursos open access como conjuntos de datos, modelos de lenguaje, etc, y participación en proyectos, contratos, y/o patentes. La calidad de la presentación, la corrección técnica y metodológica, la relevancia, originalidad, la generación, evaluación y publicación de recursos, así como la trayectoria investigadora durante el periodo predoctoral serán los criterios empleados para la adjudicación del premio por parte del jurado. Los trabajos se enviarán a través de la web de la revista de la Sociedad (http://journal.sepln.org) en formato PDF antes del 15 de mayo de 2024. La resolución del premio se comunicará durante el 40 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2024). Documento con las instrucciones (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) Para más información dirigirse a aitziber.atucha(a)ehu.eus

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11th CMC-Corpora Conference, Nice, France, 5-7 September 2024: Extension of submission deadline to 26 April
by Steven Coats 15 Apr '24

15 Apr '24

Dear colleagues, We have received many requests to extend the submission deadline for CMC-Corpora 2024 and are therefore pleased to announce an extension of the paper and abstract submission deadline to 23:59 CEST (GMT +2), April, 26th, 2024. We are also very happy to inform you that Susan Herring (Indiana University) will be our keynote speaker! For submission details, please see the conference website: https://cmc-corpora-nice.sciencesconf.org/ Looking forward to receiving your submission! On behalf of the organizing and steering committees, Céline Poudat and Steven Coats University Lecturer, Docent English, Faculty of Humanities University of Oulu P.O. Box 8000, FI-90014 University of Oulu Finland https://cc.oulu.fi/~scoats

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Subject: Call for Shared Task Participation: Data Contamination Evidence Collection - CONDA workshop @ ACL 2024
by Eneko Agirre 15 Apr '24

15 Apr '24

We invite the community to participate in a shared task organized in the context of the CONDA workshop https://conda-workshop.github.io/ <https://conda-workshop.github.io/>. Data contamination, where evaluation data is inadvertently included in pre-training corpora of large scale models, and language models (LMs) in particular, has become a concern in recent times (Sainz et al. 2023 <https://aclanthology.org/2023.findings-emnlp.722/>; Jacovi et al. 2023 <https://aclanthology.org/2023.emnlp-main.308/>). The growing scale of both models and data, coupled with massive web crawling, has led to the inclusion of segments from evaluation benchmarks in the pre-training data of LMs (Dodge et al., 2021 <https://aclanthology.org/2021.emnlp-main.98/>; OpenAI, 2023 <https://arxiv.org/abs/2303.08774>; Google, 2023 <https://arxiv.org/abs/2305.10403>; Elazar et al., 2023 <https://arxiv.org/abs/2310.20707>). The scale of internet data makes it difficult to prevent this contamination from happening, or even detect when it has happened (Bommasani et al., 2022 <https://arxiv.org/abs/2108.07258>; Mitchell et al., 2023 <https://arxiv.org/abs/2212.05129>). Crucially, when evaluation data becomes part of pre-training data, it introduces biases and can artificially inflate the performance of LMs on specific tasks or benchmarks (Magar and Schwartz, 2022 <https://aclanthology.org/2022.acl-short.18/>). This poses a challenge for fair and unbiased evaluation of models, as their performance may not accurately reflect their generalization capabilities. The shared task is a community effort on centralized data contamination evidence collection. While the problem of data contamination is prevalent and serious, the breadth and depth of this contamination are still largely unknown. The concrete evidence of contamination is scattered across papers, blog posts, and social media, and it is suspected that the true scope of data contamination in NLP is significantly larger than reported. With this shared task we aim to provide a structured, centralized platform for contamination evidence collection to help the community understand the extent of the problem and to help researchers avoid repeating the same mistakes. The shared task also gathers evidence of clean, non-contaminated instances. The platform is already available for perusal at https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Database <https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Report>. Participants in the shared task need to submit their contamination evidence (see instructions below). The CONDA 2024 workshop organizers will review the evidence through pull requests. */Compilation Paper/* As a companion to the contamination evidence platform, we will produce a paper that will provide a summary and overview of the evidence collected in the shared task. The participants who contribute to the shared task will be listed as co-authors in the paper. */ /* */Instructions for Evidence Submission/* Each submission should report a case of contamination or lack of contamination thereof. The submission can be either about (1) contamination in the corpus used to pre-train language models, where the pre-training corpus contains a specific evaluation dataset, or about (2) contamination in a model that shows evidence of having seen a specific evaluation dataset while being trained. Each submission needs to mention the corpus (or model) and the evaluation dataset, in addition to some evidence of contamination. Alternatively, we also welcome evidence of a lack of contamination. Reports must be submitted through a Pull Request in the Data Contamination Report space at HuggingFace. The reports must follow the Contribution Guidelines provided in the space and will be reviewed by the organizers. If you have any questions, please contact us at conda-workshop(a)googlegroups.com <mailto:conda-workshop@googlegroups.com> or open a discussion in the space itself. URL with contribution guidelines: https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Database <https://huggingface.co/spaces/CONDA-Workshop/Data-Contamination-Report> (“Contribution Guidelines” tab) */Important dates/* * Deadline for evidence submission: July 1, 2024 * Workshop day: August 16, 2024 */Sponsors/* * AWS AI and Amazon Bedrock * HuggingFace * Google */Contact/* * Website: https://conda-workshop.github.io/ <https://conda-workshop.github.io/> * Email: conda-workshop(a)googlegroups.com <mailto:conda-workshop@googlegroups.com> */Organizers/* Oscar Sainz, University of the Basque Country (UPV/EHU) Iker García Ferrero, University of the Basque Country (UPV/EHU) Eneko Agirre, University of the Basque Country (UPV/EHU) Jon Ander Campos, Cohere Alon Jacovi, Bar Ilan University Yanai Elazar, Allen Institute for Artificial Intelligence and University of Washington Yoav Goldberg, Bar Ilan University and Allen Institute for Artificial Intelligence

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ArabicNLP 2024 - Third Call for Papers
by Salam Khalifa 14 Apr '24

14 Apr '24

Dear all, (Apologies for cross-posting) This is the third CFP for the second Arabic Natural Language Processing Conference (ArabicNLP 2024) Co-located with ACL 2024 in Bangkok, Thailand, August 16, 2024. (Hybrid Mode). Conference URL: https://arabicnlp2024.sigarab.org/ Upcoming deadline: May 3, 2024: Abstract of direct conference paper submissions due date (Open Review) ArabicNLP 2024 builds on eight previous conference and workshop editions, which have been very successful drawing in a large active participation in various capacities (See Scholar Page <https://scholar.google.com/citations?user=LGzh8jYAAAAJ>). This conference is timely given the continued rise in research projects focusing on Arabic NLP. The conference is organized by the Special Interest Group on Arabic NLP (SIGARAB <https://www.sigarab.org/>), an Association for Computational Linguistics Special Interest Group on Arabic NLP. Call for Papers We invite long (up to 8 pages), short (up to 4 pages), and demo paper (up to 4 pages) submissions. Long and short papers will be presented orally or as posters as determined by the program committee; presentation mode does not reflect the quality of the work. Submissions are invited on topics that include, but are not limited to, the following: - Enabling technologies: (any size) language models, diacritization, lemmatization, morphological analysis, disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic role labeling, sentiment analysis, Arabic dialect modeling, etc. - Applications: dialog modeling, machine translation, speech recognition, speech synthesis, optical character recognition, pedagogy, assistive technologies, social media analytics, etc. - Resources: dictionaries, annotated data, corpora, etc. Submissions may include work in progress as well as finished work. Submissions must have a clear focus on specific issues pertaining to the Arabic language whether it is standard Arabic, dialectal, classical, or mixed. Papers on other languages sharing problems faced by Arabic NLP researchers, such as Semitic languages or languages using Arabic script, are welcome provided that they propose techniques or approaches that would be of interest to Arabic NLP, and they explain why this is the case. Additionally, papers on efforts using Arabic resources but targeting other languages are also welcome. Descriptions of commercial systems are welcome, but authors should be willing to discuss the details of their work. We also welcome position papers and surveys about any of the above topics. Conference Paper Submission URL: <https://softconf.com/emnlp2022/WANLP2022> https://openreview.net/group?id=SIGARAB.org/ArabicNLP/2024/Conference Important Dates for Conference Papers - May 3, 2024: Abstract of direct conference paper submissions due date (Open Review) - May 10, 2024: Full direct conference paper submissions due date (Open Review) - May 17, 2024: ARR commitment date <https://aclrollingreview.org/dates> - May 31, 2024: Reviews submission deadline - June 17, 2024: Notification of acceptance - July 1, 2024: Camera-ready papers due - August 16, 2024: ArabicNLP conference All deadlines are 11:59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“Anywhere on Earth”). There are eight exciting shared tasks: https://arabicnlp2024.sigarab.org/shared-tasks - Task 1: AraFinNLP: Arabic Financial NLP - Task 2: FIGNEWS 2024: Shared Task on News Media Narratives of the Israel War on Gaza - Task 3: ArAIEval: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content - Task 4: StanceEval2024: Arabic Stance Evaluation Shared Task - Task 5: WojoodNER 2024: The 2nd Arabic Named Entity Recognition Shared Task - Task 6: ArabicNLU Shared-Task: Arabic Natural Language Understanding - Task 7: NADI 2024: Nuanced Arabic Dialect Identification - Task 8: KSAA-CAD Shared Task: Contemporary Arabic Reverse Dictionary and Word Sense Disambiguation If you have any questions, please contact us at arabicnlp-pc-chairs(a)sigarab.org The ArabicNLP 2024 Organizing Committee -- Salam Khalifa PhD Student at Stony Brook Linguistics <https://www.linguistics.stonybrook.edu/>.

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MSCA DTN PhD Position on NLP at MaIAGE (France) and Univ. of Szeged (Hungary)
by Claire Nedellec 14 Apr '24

14 Apr '24

Job title: Design of Information Extraction Tools to characterize molecules produced or degraded by microbes and applications to plant-fermented food ecosystems. MaIAGE-Bibliome (INRAE, University Paris-Saclay), a transdisciplinary research lab, offers a PhD position in NLP applied to biology and food science. The candidate will work within the FAIROmics doctoral network; a Marie Skłodowska-Curie Action that aims to leverage AI techniques to improve and discover knowledge about fermented food. The position is located in Jouy-en-Josas (near Paris) and includes a twelve-month secondment at the Applied AI Research Group at the University of Szeged (Hungary). Both universities will award the PhD diploma. We are looking for candidates with: - Master’s degree in Computer Science with a solid background in NLP, AI, and/or ML. Strong academic records are highly recommended. - Experience in deep learning approaches for NLP. - Programming skills in Python. - Very good English skills (both writing and speaking). - An interest in biology, bioinformatics, and food science. Application deadline: 15/05/2024 23:59 - Europe/Brussels. Application form: https://sondages.inrae.fr/index.php/342264 <https://sondages.inrae.fr/index.php/342264>(select DC9) Detailed description: https://www.dn-fairomics.eu/open-phd-positions/dc-9-phd-position <https://www.dn-fairomics.eu/open-phd-positions/dc-9-phd-position> FAIROmics Doctoral Network: https://www.dn-fairomics.eu <https://www.dn-fairomics.eu/> MaIAGE-Bibliome: https://maiage.inrae.fr/en/bibliome <https://maiage.inrae.fr/en/bibliome> Department of Software Engineering - University of Szeged: https://www.sed.inf.u-szeged.hu <https://www.sed.inf.u-szeged.hu> Feel free to contact us for any questions: Robert.Bossy(a)inrae.fr <mailto:Robert.Bossy@inrae.fr>

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Call for Papers – Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
by Stefano Marchesin 14 Apr '24

14 Apr '24

Apologies for crossposting. Call for Papers Information Processing & Management (IPM), Elsevier - CiteScore: 14.8 - Impact Factor: 8.6 Guest editors: - Omar Alonso, Applied Science, Amazon, Palo Alto, California, USA. E-mail: omralon(a)amazon.com - Stefano Marchesin, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: stefano.marchesin(a)unipd.it - Gianmaria Silvello, Department of Information Engineering, University of Padua, Padua, Italy. E-mail: gianmaria.silvello(a)unipd.it Special Issue on “Large Language Models and Data Quality for Knowledge Graphs” In recent years, Knowledge Graphs (KGs), encompassing millions of relational facts, have emerged as central assets to support virtual assistants and search and recommendations on the web. Moreover, KGs are increasingly used by large companies and organizations to organize and comprehend their data, with industry-scale KGs fusing data from various sources for downstream applications. Building KGs involves data management and artificial intelligence areas, such as data integration, cleaning, named entity recognition and disambiguation, relation extraction, and active learning. However, the methods used to build these KGs involve automated components that could be better, resulting in KGs with high sparsity and incorporating several inaccuracies and wrong facts. As a result, evaluating the KG quality plays a significant role, as it serves multiple purposes – e.g., gaining insights into the quality of data, triggering the refinement of the KG construction process, and providing valuable information to downstream applications. In this regard, the information in the KG must be correct to ensure an engaging user experience for entity-oriented services like virtual assistants. Despite its importance, there is little research on data quality and evaluation for KGs at scale. In this context, the rise of Large Language Models (LLMs) opens up unprecedented opportunities – and challenges – to advance KG construction and evaluation, providing an intriguing intersection between human and machine capabilities. On the one hand, integrating LLMs within KG construction systems could trigger the development of more context-aware and adaptive AI systems. At the same time, however, LLMs are known to hallucinate and can thus generate mis/disinformation, which can affect the quality of the resulting KG. In this sense, reliability and credibility components are of paramount importance to manage the hallucinations produced by LLMs and avoid polluting the KG. On the other hand, investigating how to combine LLMs and quality evaluation has excellent potential, as shown by promising results from using LLMs to generate relevance judgments in information retrieval. Thus, this special issue promotes novel research on human-machine collaboration for KG construction and evaluation, fostering the intersection between KGs and LLMs. To this end, we encourage submissions related to using LLMs within KG construction systems, evaluating KG quality, and applying quality control systems to empower KG and LLM interactions on both research- and industrial-oriented scenarios. Topics include but are not limited to: - KG construction systems - Use of LLMs for KG generation - Efficient solutions to deploy LLMs on large-scale KGs - Quality control systems for KG construction - KG versioning and active learning - Human-in-the-loop architectures - Efficient KG quality assessment - Quality assessment over temporal and dynamic KGs - Redundancy and completeness issues - Error detection and correction mechanisms - Benchmarks and Evaluation - Domain-specific applications and challenges - Maintenance of industry-scale KGs - LLM validation via reliable/credible KG data Submission guidelines: Authors are invited to submit original and unpublished papers. All submissions will be peer-reviewed and judged on originality, significance, quality, and relevance to the special issue topics of interest. Submitted papers should not have appeared in or be under consideration for another journal. Papers can be submitted *up *to 1 September 2024. The estimated publication date for the special issue is 15 January 2025. Papers submission via IP&M electronic submission system: https://www.editorialmanager.com/IPM To submit your manuscript to the special issue, please choose the article type: "VSI: LLMs and Data Quality for KGs". More info here: https://www.sciencedirect.com/journal/information-processing-and-management… Instructions for authors: https://www.sciencedirect.com/journal/information-processing-and-management… Important dates: - Submissions close: 1 September 2024 - Publication date (estimated): 15 January 2025 References: Weikum G., Dong X.L., Razniewski S., et al. (2021) Machine knowledge: creation and curation of comprehensive knowledge bases. Found. Trends Databases, 10, 108–490. Hogan A., Blomqvist E., Cochez M. et al. (2021) Knowledge graphs. ACM Comput. Surv., 54, 71:1–71:37. B. Xue and L. Zou. 2023. Knowledge Graph Quality Management: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 35, 5 (2023), 4969 – 4988 G. Faggioli, L. Dietz, C. L. A. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, and H. Wachsmuth. 2023. Perspectives on Large Language Models for Relevance Judgment. In Proc. of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2023, Taipei, Taiwan, 23 July 2023. ACM, 39 – 50. S. MacAvaney and L. Soldaini. 2023. One-Shot Labeling for Automatic Relevance Estimation. In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM, 2230 – 2235. X. L. Dong. 2023. Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16, 12 (2023), 4130 – 4137. S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. 2023. Unifying Large Language Models and Knowledge Graphs: A Roadmap. CoRR abs/2306.08302 (2023). -- Stefano Marchesin, PhD Assistant Professor (RTD/a) Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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