Exploring Word Composition Knowledge in Language Usages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A3CZAUS8F" target="_blank" >RIV/00216208:11320/25:3CZAUS8F - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206220327&doi=10.1007%2f978-981-97-5501-1_5&partnerID=40&md5=2ba8c71ef813de335fc48f1749f9809d" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206220327&doi=10.1007%2f978-981-97-5501-1_5&partnerID=40&md5=2ba8c71ef813de335fc48f1749f9809d</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-97-5501-1_5" target="_blank" >10.1007/978-981-97-5501-1_5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploring Word Composition Knowledge in Language Usages

Popis výsledku v původním jazyce

The creativity of language is a distinct feature that sets humans apart from machines and animals, where the flexibility of word composition is the fundamental part. The patterns on words that are systematically linked together are acknowledged as the word composition knowledge. We explore this knowledge by combining the syntax information with word semantics and verify it through a series of empirical experiments on multiple datasets. From the linguistic perspective, we found that this knowledge can find the appropriate alternatives for the given phrase and generate high-quality paraphrases that satisfy both the syntax soundness and the semantic consistency with the original text. We also verify it on the questionnaires in psychological testing and find the abnormal patterns on the language usages. Compared to the large pre-trained models, this method is much more training-economic and can generate the paraphrases in an explainable way. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Název v anglickém jazyce

Exploring Word Composition Knowledge in Language Usages

Popis výsledku anglicky

The creativity of language is a distinct feature that sets humans apart from machines and animals, where the flexibility of word composition is the fundamental part. The patterns on words that are systematically linked together are acknowledged as the word composition knowledge. We explore this knowledge by combining the syntax information with word semantics and verify it through a series of empirical experiments on multiple datasets. From the linguistic perspective, we found that this knowledge can find the appropriate alternatives for the given phrase and generate high-quality paraphrases that satisfy both the syntax soundness and the semantic consistency with the original text. We also verify it on the questionnaires in psychological testing and find the abnormal patterns on the language usages. Compared to the large pre-trained models, this method is much more training-economic and can generate the paraphrases in an explainable way. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lect. Notes Comput. Sci.

ISBN

978-981975500-4

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

12

Strana od-do

61-72

Název nakladatele

Springer Science and Business Media Deutschland GmbH

Místo vydání

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Místo konání akce

Birmingham

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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