@inproceedings{783ffc46eba2437aaa4d1645023e9b55,
title = "Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet",
abstract = "Latvian WordNet is a resource where word senses are connected based on their semantic relationships. The manual construction of a high-quality core Latvian WordNet is currently underway. However, text processing tasks require broad coverage, therefore, this work aims to extend the wordnet by automatically linking additional word senses in the Latvian online dictionary Tēzaurs.lv and aligning them to the English-language Princeton WordNet (PWN). Our method only needs translation data, sense definitions and usage examples to compare it to PWN using pretrained word embeddings and sBERT. As a result, 57 927 interlanguage links were found that can potentially be added to Latvian WordNet, with an accuracy of 80\% for nouns, 56\% for verbs, 67\% for adjectives and 66\% for adverbs.",
keywords = "Automatic Extension, Latvian, WordNet",
author = "Laine Strankale and Madara Stāde",
note = "Publisher Copyright: {\textcopyright} 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.",
year = "2022",
doi = "10.5220/0011006000003116",
language = "English",
isbn = "9789897585470",
volume = "1",
series = "International Conference on Agents and Artificial Intelligence",
publisher = "SciTePress]",
pages = "478--485",
booktitle = "ICAART 2022 - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - (Volume 1)",
}