MASOPUSTOVÁ, Markéta. Using fastText on Semantic Networks. In Eastern European Machine Learning Summer School, 1-9 July 2020, Virtual Krakow Poland. 2020.
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Basic information
Original name Using fastText on Semantic Networks
Authors MASOPUSTOVÁ, Markéta.
Edition Eastern European Machine Learning Summer School, 1-9 July 2020, Virtual Krakow Poland, 2020.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 60203 Linguistics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Faculty of Arts
Keywords in English word embedding; word2vec; fasttext; wordnet; sholva
Changed by Changed by: prof. Mgr. Pavel Kosek, Ph.D., učo 4755. Changed: 20/3/2021 15:46.
Abstract
Semantic networks were developed to help machine translation or artificial intelligence. They centre words with similar meaning close together. This approach is parallel to clustering in machine learning, where similar values create clusters. However, those clusters do not have to be the same ones as in semantic networks. In our project, we aim to compare those clusters.
Links
MUNI/A/0913/2019, interní kód MUName: Čeština v jednotě synchronie a diachronie - 2020
Investor: Masaryk University, Category A
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