Sense Prediction for Explicit Discourse Relations with BERT

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440563" target="_blank" >RIV/00216208:11320/21:10440563 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-981-16-1781-2_72" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-16-1781-2_72</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-16-1781-2_72" target="_blank" >10.1007/978-981-16-1781-2_72</a>

Result language

angličtina

Original language name

Sense Prediction for Explicit Discourse Relations with BERT

Original language description

We present experiments in predicting a discourse sense for explicit inter-sentential discourse relations in Czech and English, using embedding and deep learning (fine-tuned BERT) to predict the senses, and annotation projection from English to Czech to increase the size of training data for Czech.

Czech name

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Czech description

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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)

Project

<a href="/en/project/GA19-03490S" target="_blank" >GA19-03490S: Shallow Discourse Parsing in Czech</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

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

Article name in the collection

Proceedings of Sixth International Congress on Information and Communication Technology (ICICT)

ISBN

978-981-16-1781-2

ISSN

2367-3370

e-ISSN

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Number of pages

8

Pages from-to

835-842

Publisher name

Springer

Place of publication

Singapore

Event location

London, UK

Event date

Feb 25, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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