Proceedings of the 2023 CLASP Conference on Learning with Small Data
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.
Link to web site
https://aclanthology.org/volumes/2023.clasp-1/
Publisher
The Association for Computational Linguistics
Citation
CLASP Conference Proceedings, Volume 2, ACL Anthology
Collections
View/ Open
Date
2023-09-10Editor
Breitholtz, Ellen
Lappin, Shalom
Loáiciga, Sharid
Ilinykh, Nikolai
Dobnik, Simon
Keywords
computational linguistics
language technology
language models
formal models
Publication type
conference paper, peer reviewed
ISBN
979-8-89176-000-4
ISSN
2002-9764
Series/Report no.
CLASP Papers in Computational Linguistics, Volume 5
Language
eng