Proceedings of the 2023 CLASP Conference on Learning with Small Data

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dc.contributor.editorBreitholtz, Ellen
dc.contributor.editorLappin, Shalom
dc.contributor.editorLoáiciga, Sharid
dc.contributor.editorIlinykh, Nikolai
dc.contributor.editorDobnik, Simon
dc.contributor.organizationCentre for Linguistic Theory and Studies in Probability (CLASP)en
dc.contributor.organizationDepartment of Philosophy, Linguistics and Theory of Science (FLoV)en
dc.contributor.organizationUniversity of Gothenburgen
dc.date.accessioned2023-09-20T15:32:44Z
dc.date.available2023-09-20T15:32:44Z
dc.date.issued2023-09-10
dc.description.abstractThe 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
dc.description.sponsorshipCentre for Linguistic Theory and Studies in Probability (CLASP)en
dc.format.extent211en
dc.identifier.citationCLASP Conference Proceedings, Volume 2, ACL Anthologyen
dc.identifier.isbn979-8-89176-000-4
dc.identifier.issn2002-9764
dc.identifier.urihttps://hdl.handle.net/2077/78571
dc.language.isoengen
dc.publisherThe Association for Computational Linguisticsen
dc.relation.ispartofseriesCLASP Papers in Computational Linguistics, Volume 5en
dc.relation.urihttps://aclanthology.org/volumes/2023.clasp-1/en
dc.subjectcomputational linguisticsen
dc.subjectlanguage technologyen
dc.subjectlanguage modelsen
dc.subjectformal modelsen
dc.titleProceedings of the 2023 CLASP Conference on Learning with Small Dataen
dc.typeTexten
dc.type.svepconference paper, peer revieweden

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