University of Padova @ DIACR-Ita
Semantic change detection task in a relatively low-resource language like Italian is challenging. By using contextualized word embeddings, we formalize the task as a distance metric for two flexible-size sets of vectors. Various distance metrics like average Euclidean Distance, average Canberra dist...
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| 主要な著者: | , , |
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| フォーマット: | Chapter |
| 言語: | Inglês |
| 出版事項: |
Accademia University Press
2020
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| オンライン･アクセス: | https://doi.org/10.4000/books.aaccademia.7618 https://hdl.handle.net/20.500.13089/1djj https://books.openedition.org/aaccademia/7618 |
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