Breitholtz, EllenLappin, ShalomLoƔiciga, SharidIlinykh, NikolaiDobnik, Simon2023-09-202023-09-202023-09-10CLASP Conference Proceedings, Volume 2, ACL Anthology979-8-89176-000-42002-9764https://hdl.handle.net/2077/78571The 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.211engcomputational linguisticslanguage technologylanguage modelsformal modelsProceedings of the 2023 CLASP Conference on Learning with Small DataText