Textual embeddings with word-type-weighted word2vec
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00603024" target="_blank" >RIV/67985807:_____/24:00603024 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/24:00377340
Result on the web
<a href="https://ceur-ws.org/Vol-3792/paper4.pdf" target="_blank" >https://ceur-ws.org/Vol-3792/paper4.pdf</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Textual embeddings with word-type-weighted word2vec
Original language description
The increasing use of artificial neural networks for knowledge processing often lacks precise knowledge representation. To address this issue, we propose using a word-type-weighted Word2Vec model to achieve more accurate representations of individual words within sentences. Our approach incorporates weighting vector embeddings of words based on parts-of-speech predictions generated by the spaCy library. Experimental results demonstrate that, compared to simple Word2Vec, our model enhances the accuracy of recognizing the semantics of a sentence, while maintaining significantly lower computational requirements than large language models and various variants of Transformer.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 24th Conference Information Technologies – Applications and Theory (ITAT 2024)
ISBN
—
ISSN
1613-0073
e-ISSN
—
Number of pages
6
Pages from-to
37-42
Publisher name
Technical University & CreateSpace Independent Publishing
Place of publication
Aachen
Event location
Drienica
Event date
Sep 20, 2024
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—