Representations of Meaning in Neural Networks for NLP: a Thesis Proposal
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Representations of Meaning in Neural Networks for NLP: a Thesis Proposal
Original language description
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.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
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 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
—
Number of pages
8
Pages from-to
24-31
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, USA
Event location
Online
Event date
Jun 6, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—