AGRR 2019: Corpus for Gapping Resolution in Russian
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405594" target="_blank" >RIV/00216208:11320/19:10405594 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W19-3705/" target="_blank" >https://www.aclweb.org/anthology/W19-3705/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
AGRR 2019: Corpus for Gapping Resolution in Russian
Original language description
This paper provides a comprehensive overview of the gapping dataset for Russian that consists of 7.5k sentences with gapping (as well as 15k relevant negative sentences) and comprises data from various genres: news, fiction, social media and technical texts. The dataset was prepared for the Automatic Gapping Resolution Shared Task for Russian (AGRR-2019) - a competition aimed at stimulating the development of NLP tools and methods for processing of ellipsis. In this paper, we pay special attention to the gapping resolution methods that were introduced within the shared task as well as an alternative test set that illustrates that our corpus is a diverse and representative subset of Russian language gapping sufficient for effective utilization of machine learning techniques.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Balto-Slavic Natural Language Processing
ISBN
978-1-950737-41-3
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
35-43
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Firenze, Italy
Event date
Aug 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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