A Study on Bilingually Informed Coreference Resolution
The result's identifiers
Result code in 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>
Result on the web
<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
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Alternative languages
Result language
angličtina
Original language name
A Study on Bilingually Informed Coreference Resolution
Original language description
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.
Czech name
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Czech description
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Classification
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)
Result continuities
Project
<a href="/en/project/GA16-05394S" target="_blank" >GA16-05394S: Structure of coreferential chains in parallel language data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
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 18th conference ITAT 2018: Slovenskočeský NLP workshop (SloNLP 2018)
ISBN
978-1-72726-719-8
ISSN
1613-0073
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
130-137
Publisher name
CreateSpace Independent Publishing Platform
Place of publication
Košice, Slovakia
Event location
Plejsy, Slovakia
Event date
Sep 22, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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