A Study on Bilingually Informed Coreference Resolution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390194" target="_blank" >RIV/00216208:11320/18:10390194 - isvavai.cz</a>

Výsledek na webu

<a href="http://ceur-ws.org/Vol-2203/130.pdf" target="_blank" >http://ceur-ws.org/Vol-2203/130.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

A Study on Bilingually Informed Coreference Resolution

Popis výsledku v původním jazyce

Coreference is a basic means to retain coherence of a text that likely exists in every language. However, languages may differ in how a coreference relation is manifested on the surface. A possible way how to measure the extent and nature of such differences is to build a coreference resolution system that operates on a parallel corpus and extracts information from both language sides of the corpus. In this work, we build such a bilingually informed coreference resolution system and apply it on Czech-English data. We compare its performance with the system that learns only from a single language. Our results show that the cross-lingual approach outperforms the monolingual one. They also suggest that a system for Czech can exploit the additional English information more effectively than the other way round. The work concludes with a detailed analysis that tries to reveal the reasons behind these results.

Název v anglickém jazyce

A Study on Bilingually Informed Coreference Resolution

Popis výsledku anglicky

Coreference is a basic means to retain coherence of a text that likely exists in every language. However, languages may differ in how a coreference relation is manifested on the surface. A possible way how to measure the extent and nature of such differences is to build a coreference resolution system that operates on a parallel corpus and extracts information from both language sides of the corpus. In this work, we build such a bilingually informed coreference resolution system and apply it on Czech-English data. We compare its performance with the system that learns only from a single language. Our results show that the cross-lingual approach outperforms the monolingual one. They also suggest that a system for Czech can exploit the additional English information more effectively than the other way round. The work concludes with a detailed analysis that tries to reveal the reasons behind these results.

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)

Projekt

<a href="/cs/project/GA16-05394S" target="_blank" >GA16-05394S: Struktura koreferenčních řetězců v paralelních jazykových datech</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018)

ISBN

978-1-72726-719-8

ISSN

1613-0073

e-ISSN

neuvedeno

Počet stran výsledku

8

Strana od-do

130-137

Název nakladatele

CreateSpace Independent Publishing Platform

Místo vydání

Košice, Slovakia

Místo konání akce

Plejsy, Slovakia

Datum konání akce

22. 9. 2018

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

—