Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet

Laine Strankale; Madara Stāde

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Paper

Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet

Topics: Computational Semantics of Natural Languages; Models of Computation and Algorithms for Natural Language Processing; Multilingual Processing

In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI, 478-485, 2022 , Vienna, Austria

Authors: Laine Strankale and Madara Stāde

Affiliation: Institute of Mathematics and Computer Science, University of Latvia, Riga, Latvia

Keyword(s): WordNet, Latvian, Automatic Extension.

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.

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Paper citation in several formats:

Strankale, L. and Stāde, M. (2022). Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 478-485. DOI: 10.5220/0011006000003116

@conference{nlpinai22,
author={Laine Strankale. and Madara Stāde.},
title={Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI},
year={2022},
pages={478-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011006000003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: NLPinAI
TI - Automatic Word Sense Mapping from Princeton WordNet to Latvian WordNet
SN - 978-989-758-547-0
IS - 2184-433X
AU - Strankale, L.
AU - Stāde, M.
PY - 2022
SP - 478
EP - 485
DO - 10.5220/0011006000003116
PB - SciTePress