DIACR-Ita @ EVALITA2020: Overview of the EVALITA2020 Diachronic Lexical Semantics (DIACR-Ita) Task
Autor: | Annalina Caputo, Pierluigi Cassotti, Tommaso Caselli, Rossella Varvara, Pierpaolo Basile |
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Rok vydání: | 2020 |
Předmět: |
Language & Linguistics
Lexical semantics Automatic Misogyny Identification AlBERTo BERT Model Language Game ``La Ghigliottina'' Computer science MEME management EVALITA Convolutional Neural Network LAN000000 Meaning (non-linguistic) Hate Speech Detection Linguistics Task (project management) CBX linguistica computazionale Misogyny on Twitter Posts Computational linguistics COVID-19 Infodemic Word (computer architecture) Multimodal Meme Detection |
Zdroj: | Scopus-Elsevier |
DOI: | 10.4000/books.aaccademia.7613 |
Popis: | This paper describes the first edition of the “Diachronic Lexical Seman-tics” (DIACR-Ita) task at the EVALITA2020 campaign. The task challenges participants to develop systems that can automatically detect if a given word has changed its meaning over time, given con-textual information from corpora.The task, at its first edition, attracted 9 participant teams and collected a total of 36 sub-mission runs |
Databáze: | OpenAIRE |
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