@INPROCEEDINGS{CASELLI_2022_INPROCEEDINGS_CDD_472144, 
 AUTHOR = {Caselli, T. and Dini, I. and Dell'Orletta, F.}, 
 TITLE = {How About Time? Probing a Multilingual Language Model for Temporal Relations}, 
 YEAR = {2022}, 
 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}, 
 URL = {https://aclanthology.org/2022.coling-1.283/}, 
 CONFERENCE_NAME = {International Conference on Computational Linguistics (COLING)}, 
 CONFERENCE_PLACE = {Gyeongju, Republic of Kore}, 
 CONFERENCE_DATE = {12-17 ottobre 2022}, 
 BOOKTITLE = {Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022}, 
}