Co-occurrence Networks for Word Sense Induction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AE7AAZGHS" target="_blank" >RIV/00216208:11320/23:E7AAZGHS - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/10044503/" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10044503/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/sami58000.2023.10044503" target="_blank" >10.1109/sami58000.2023.10044503</a>
Alternative languages
Result language
angličtina
Original language name
Co-occurrence Networks for Word Sense Induction
Original language description
"Word sense induction (WSI) is the unsupervised and knowledge-free task of clustering occurrences of homonymous or ambiguous words by their meanings. This problem has been relevant since the second half of the 20th century [1] and arises in various natural language processing areas, such as machine translation, sentiment analysis, chatbots, etc. In this work, we applied graph neural networks to the WSI-problem using a co-occurrence network and evaluated it on the RUSSE’2018 task [2]. Proposed approach demonstrates satisfactory results with low consumption of computational resources."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI)"
ISBN
979-8-3503-1986-6
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
000097-000102
Publisher name
IEEE
Place of publication
Herl'any, Slovakia
Event location
Herl'any, Slovakia
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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