Representations of Meaning in Neural Networks for NLP: a Thesis Proposal

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440562" target="_blank" >RIV/00216208:11320/21:10440562 - isvavai.cz</a>
Výsledek na webu
<a href="https://aclanthology.org/2021.naacl-srw.4.pdf" target="_blank" >https://aclanthology.org/2021.naacl-srw.4.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2021.naacl-srw.4" target="_blank" >10.18653/v1/2021.naacl-srw.4</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Representations of Meaning in Neural Networks for NLP: a Thesis Proposal
Popis výsledku v původním jazyce
Neural networks are the state-of-the-art method of machine learning for many problems in NLP. Their success in machine translation and other NLP tasks is phenomenal, but their interpretability is challenging. We want to find out how neural networks represent meaning. In order to do this, we propose to examine the distribution of meaning in the vector space representation of words in neural networks trained for NLP tasks. Furthermore, we propose to consider various theories of meaning in the philosophy of language and to find a methodology that would enable us to connect these areas.
Název v anglickém jazyce
Representations of Meaning in Neural Networks for NLP: a Thesis Proposal
Popis výsledku anglicky
Neural networks are the state-of-the-art method of machine learning for many problems in NLP. Their success in machine translation and other NLP tasks is phenomenal, but their interpretability is challenging. We want to find out how neural networks represent meaning. In order to do this, we propose to examine the distribution of meaning in the vector space representation of words in neural networks trained for NLP tasks. Furthermore, we propose to consider various theories of meaning in the philosophy of language and to find a methodology that would enable us to connect these areas.

Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop
ISBN
978-1-954085-50-3
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
24-31
Název nakladatele
Association for Computational Linguistics
Místo vydání
Stroudsburg, USA
Místo konání akce
Online
Datum konání akce
6. 6. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—

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