Using fastText on Semantic Networks

MASOPUSTOVÁ, Markéta. Using fastText on Semantic Networks. In Eastern European Machine Learning Summer School, 1-9 July 2020, Virtual Krakow Poland. 2020.

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

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Other information

Language

English

Type of outcome

Prezentace na konferencích

Field of Study

60203 Linguistics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

Faculty of Arts

Keywords in English

word embedding; word2vec; fasttext; wordnet; sholva

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Abstract

V originále

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.

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Links

MUNI/A/0913/2019, interní kód MU

Name: Čeština v jednotě synchronie a diachronie - 2020 Investor: Masaryk University, Category A