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