Multilingual Coreference Resolution with Harmonized Annotations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962618" target="_blank" >RIV/49777513:23520/21:43962618 - isvavai.cz</a>
Result on the web
<a href="http://hdl.handle.net/11025/47262" target="_blank" >http://hdl.handle.net/11025/47262</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.26615/978-954-452-072-4_125" target="_blank" >10.26615/978-954-452-072-4_125</a>
Alternative languages
Result language
angličtina
Original language name
Multilingual Coreference Resolution with Harmonized Annotations
Original language description
In this paper, we present coreference resolution experiments with a newly created multi-lingual corpus CorefUD (Nedoluzhko et al.,2021). We focus on the following languages: Czech, Russian, Polish, German, Spanish, and Catalan. In addition to monolingual experiments, we combine the training data in multi-lingual experiments and train two joined models – for Slavic languages and for all the languages together. We rely on an end-to-end deep learning model that we slightly adapted for the CorefUD corpus. Our results show that we can profit from harmonized annotations, and using joined models helps significantly for the languages with smaller training data
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
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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
Deep Learning for Natural Language Processing Methods and Applications
ISBN
978-954-452-072-4
ISSN
1313-8502
e-ISSN
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Number of pages
5
Pages from-to
1119-1123
Publisher name
INCOMA Ltd.
Place of publication
Shoumen
Event location
Shoumen, Bulharsko
Event date
Sep 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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