Proceedings of the 2023 CLASP Conference on Learning with Small Data
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Date
2023-09-10
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Association for Computational Linguistics
Abstract
The purpose of our conference is to bring together researchers from several areas of NLP, addressing datasets, methods and limits of effective (machine) learning with small data containing natural language and associated multi-modal information. The conference covers areas such as machine learning, natural language processing, language technology, computational linguistics, theoretical linguistics, psycholinguistics, as well as artificial intelligence, cognitive science, ethics, and policy.
Description
Keywords
computational linguistics, language technology, language models, formal models
Citation
CLASP Conference Proceedings, Volume 2, ACL Anthology