First Call for papers: UncertaiNLP - First Workshop on Uncertainty-Aware NLP @ EACL 2024, March 21 or 22, 2024
Website: https://uncertainlp.github.io/ Submission website: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UncertaiNLP We invite submissions to the first edition of the UncertaiNLP workshop on Uncertainty-Aware NLP, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * Paper submission deadline: December 18, 2023 * Resubmission of already pre-reviewed ARR papers: January 17, 2024 * Notification of acceptance: January 20, 2024 * Camera-ready papers due: January 30 2024 * Workshop dates: March 21-22, 2024 [Introduction] Human languages are inherently ambiguous and understanding language input is subject to interpretation and complex contextual dependencies. Nevertheless, the main body of research in NLP is still based on the assumption that ambiguities and other types of underspecification can and have to be resolved. This workshop will provide a platform for research that embraces variability in human language and aims to represent and evaluate the uncertainty that arises from it, and from modeling tools themselves. [Topics of Interest] UncertaiNLP welcomes submissions to topics related (but not limited) to: * Frameworks for uncertainty representation * Theoretical work on probability and its generalizations * Symbolic representations of uncertainty * Documenting sources of uncertainty * Theoretical underpinnings of linguistic sources of variation * Data collection (e.g., to document linguistic variability, multiple perspectives, etc.) * Modeling * Explicit representation of model uncertainty (e.g., parameter and/or hypothesis uncertainty, Bayesian NNs in NLU/NLG, verbalised uncertainty, feature density, external calibration modules) * Disentangled representation of different sources of uncertainty (e.g., hierarchical models, prompting) * Reducing uncertainty due to additional context (e.g., additional context, clarification questions, retrieval/API augmented models) * Learning (or parameter estimation) * Learning from single and/or multiple references * Gradient estimation in latent variable models * Probabilistic inference * Theoretical and applied work on approximate inference (e.g., variational inference, Langevin dynamics) * Unbiased and asymptotically unbiased sampling algorithms * Decision making * Utility-aware decoders and controllable generation * Selective prediction * Active learning * Evaluation * Statistical evaluation of language models * Calibration to interpretable notions of uncertainty (e.g., calibration error, conformal prediction) * Evaluation of epistemic uncertainty [Submission Guidelines] Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions. * Short papers (up to 4 pages) for ongoing or preliminary work. All submissions must be in PDF format, submitted electronically via OpenReview (https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/UncertaiNLP) and should follow the EACL 2024 formatting guidelines (following the ARR CfP<https://aclrollingreview.org/cfp>: use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files>). We also invite authors of papers accepted to Findings to reach out to the organizing committee of UncertaiNLP to present their papers at the workshop, if in line with the topics described above. Resubmission of already pre-reviewed ARR papers will be possible and more information will be sent in the later calls. [Workshop Organizers] * Wilker Aziz, University of Amsterdam * Joris Baan, University of Amsterdam * Hande Celikkanat, University of Helsinki * Marie-Catherine de Marneffe, UCLouvain/FNRS * Barbara Plank, LMU Munich * Swabha Swayamdipta, USC * Jörg Tiedemann, University of Helsinki * Dennis Ulmer, ITU Copenhagen [Program Committee] A list of program committee members will be available on the workshop website. [Contact] For inquiries, please contact uncertai...@googlegroups.com<mailto:uncertai...@googlegroups.com>
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