NLPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP FIRST CALL FOR PAPERS
https://nlperspectives.di.unito.it/w/3rd-workshop-on-perspectivist-approaches-to-nlp/ Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist (Plank, 2022). At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices. Strong perspectivism in NLP (Cabitza et al., 2023) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation. In line with the first <https://nlperspectives.di.unito.it/w/w2022/> and second <https://nlperspectives.di.unito.it/w/2nd-workshop-on-perspectivist-approaches-to-nlp/> editions, the third NLPerspectives (Perspectivist Approaches to Disagreement in NLP) workshop will explore current and ongoing work on: the collection and labelling of non-aggregated datasets; and approaches to modelling and including these perspectives in NLP pipelines, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g., fairness and inclusion in a perspectivist framework. Following our previous workshops, a key outcome of the third edition will be to continue the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling. Authors are, therefore, invited to share their LRs (data, tools, services, etc.) and provide essential information about resources (i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work or are a result of their research. In addition, authors will be required to adhere to ethical research policies on AI and may include an ethics statement in their papers. The NLPerspectives workshop will be co-located with the 14th edition of LREC-COLING 2024 <https://lrec-coling-2024.org/> in Torino, Italy, in May 20-25, 2024. Submissions The papers should be submitted as a PDF document, conforming to the formatting guidelines provided in the call for papers of LREC-COLING conference: authors-kit <https://lrec-coling-2024.org/authors-kit/> We accept three types of submissions: Regular research papers; Non-archival submissions: like research papers, but will not be included in the proceedings; Research communications: 4-page abstracts summarising relevant research published elsewhere. Research papers (archival or non-archival) may consist of up to 8 pages of content. Research communications may consist of up to 4 pages of content. More details will be up soon. Topics We invite original research papers from a wide range of topics, including but not limited to: Non-aggregated data collection and annotation frameworks Descriptions of corpora collected under the perspectivist paradigm Multi-perspective Modelling and Machine Learning Evaluation of multi-perspective models/ models of disagreement Multi-perspective disagreement as applied to NLP evaluation Fairness and inclusive modelling Perspectivist approaches for social good Applications of multi-perspective modelling Computing with (dis)agreement Perspectivist Natural Language Generation Foundational aspects of perspectivism Opinion pieces and reviews on perspectivist approaches to NLP Submissions are open to all, and are to be submitted anonymously (and must conform to the instructions for double-blind review). All papers will be refereed through a double-blind peer review process by at least three reviewers, with final acceptance decisions made by the workshop organisers. Scientific papers will be evaluated based on relevance, significance of contribution, impact, technical quality, scholarship, and quality of presentation. Attendance At least one author of each accepted paper is required to participate in the conference and present the work. Important Dates * Friday February 23, 2024: Paper submission * Friday March 29, 2024: Notification of acceptance * Friday April 12, 2024: Camera-ready papers due * Tuesday May 21, 2024: Workshop Workshop organisers: Gavin Abercrombie, Heriot-Watt University Valerio Basile, University of Turin Davide Bernardi, Amazon Alexa Shiran Dudy, Northeastern University Simona Frenda, University of Turin Lucy Havens, University of Edinburgh Sara Tonelli, Fondazione Bruno Kessler Contact us at g.abercrom...@hw.ac.uk <mailto:g.abercrom...@hw.ac.uk> if you have any questions. 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