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In this paper, we present the results and main findings of our system for the DIACR-ITA 2020 Task. Our system focuses on using variations of training sets and different semantic detection methods. ... The task involves training, aligning and predicting a word's vector change from two diachronic Italian corpora. ... Acknowledgments This research utilised Queen Mary's Apocrita HPC facility, supported by QMUL Research-IT. ...arXiv:2011.02935v2 fatcat:ftz3tdcerfcu3ojfisrzvyr2oa
EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020
This paper describes the first edition of the "Diachronic Lexical Semantics" (DIACR-Ita) task at the EVALITA 2020 campaign. ... SBM-IMS Results Conclusions We proposed for the first time the "Diachronic Lexical Semantics" (DIACR-Ita) task. ... Background and Motivation The Diachronic Lexical Semantics (DIACR-Ita) task focuses on the automatic recognition of lexical semantic change over time, combining together computational and historical linguistics ...doi:10.4000/books.aaccademia.7613 fatcat:mnt7oyzk2ffkzcchaqcggfychq