QMUL-SDS @ DIACR-Ita: Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian
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...
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| Autori principali: | , , , |
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| Natura: | Chapter |
| Lingua: | Inglês |
| Pubblicazione: |
Accademia University Press
2020
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| Accesso online: | https://doi.org/10.4000/books.aaccademia.7638 https://hdl.handle.net/20.500.13089/1djk https://books.openedition.org/aaccademia/7638 |
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