[{"id":343041,"last_updated":"2022-10-18 10:03:18","id_people":472144,"institutes":["ILC"],"type":"conference_article","type_order":5,"type_people":"conferenceObject","title":"How About Time? Probing a Multilingual Language Model for Temporal Relations","year":2022,"authors_people":"Caselli T., Dini I., Dell'Orletta F.","authors_cnr":["Dini, Irene","Dell'Orletta, Felice"],"authors_cnr_id":["14329"],"authors_cnr_institute":[""],"authors":["Caselli, T.","Dini, I.","Dell'Orletta, F."],"abstract":"This paper presents a comprehensive set of probing experiments using a multilingual language model, XLM-R, for temporal relation classification between events in four languages. Results show an advantage of contextualized embeddings over static ones and a detrimental role of sentence level embeddings. While obtaining competitive results against state-of-the-art systems, our probes indicate a lack of suitable encoded information to properly address this task.","keywords":["Natural Language Processing","Neural Language Models","Temporal Relation Classification"],"pages":"","url":"https:\/\/aclanthology.org\/2022.coling-1.283\/","volume":"","doi":"","editors_people":"","editors":[""],"published":"Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022","publisher":"","issn":"","isbn":"","conference_name":"International Conference on Computational Linguistics (COLING)","conference_place":"Gyeongju, Republic of Kore","conference_date":"12-17 ottobre 2022"}]