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@proceedings{1668729, author = {Masopustová, Markéta}, booktitle = {Eastern European Machine Learning Summer School, 1-9 July 2020, Virtual Krakow Poland}, keywords = {word embedding; word2vec; fasttext; wordnet; sholva}, language = {eng}, title = {Using fastText on Semantic Networks}, url = {https://www.eeml.eu/previous-editions/eeml2020}, year = {2020} }
TY - CONF ID - 1668729 AU - Masopustová, Markéta PY - 2020 TI - Using fastText on Semantic Networks KW - word embedding KW - word2vec KW - fasttext KW - wordnet KW - sholva UR - https://www.eeml.eu/previous-editions/eeml2020 N2 - 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. ER -
MASOPUSTOVÁ, Markéta. Using fastText~on Semantic Networks. In \textit{Eastern European Machine Learning Summer School, 1-9 July 2020, Virtual Krakow Poland}. 2020.
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