Proceedings of the 2023 CLASP Conference on Learning with Small Data
| Breitholtz, Ellen | ||
| Lappin, Shalom | ||
| Loáiciga, Sharid | ||
| Ilinykh, Nikolai | ||
| Dobnik, Simon | ||
| Centre for Linguistic Theory and Studies in Probability (CLASP) | en | |
| Department of Philosophy, Linguistics and Theory of Science (FLoV) | en | |
| University of Gothenburg | en | |
| 2023-09-20T15:32:44Z | ||
| 2023-09-20T15:32:44Z | ||
| 2023-09-10 | ||
| 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. | en | |
| Centre for Linguistic Theory and Studies in Probability (CLASP) | en | |
| 211 | en | |
| CLASP Conference Proceedings, Volume 2, ACL Anthology | en | |
| 979-8-89176-000-4 | ||
| 2002-9764 | ||
| https://hdl.handle.net/2077/78571 | ||
| eng | en | |
| The Association for Computational Linguistics | en | |
| CLASP Papers in Computational Linguistics, Volume 5 | en | |
| https://aclanthology.org/volumes/2023.clasp-1/ | en | |
| computational linguistics | en | |
| language technology | en | |
| language models | en | |
| formal models | en | |
| Proceedings of the 2023 CLASP Conference on Learning with Small Data | en | |
| Text | en | |
| conference paper, peer reviewed | en |