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QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian [article]

Rabab Alkhalifa, Adam Tsakalidis, Arkaitz Zubiaga, Maria Liakata
2020 arXiv   pre-print
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

DIACR-Ita @ EVALITA2020: Overview of the EVALITA2020 Diachronic Lexical Semantics (DIACR-Ita) Task [chapter]

Pierpaolo Basile, Annalina Caputo, Tommaso Caselli, Pierluigi Cassotti, Rossella Varvara
2020 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