Building a Dataset for Detection of Verb Coordinations with a Shared Argument
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F21%3A00123250" target="_blank" >RIV/00216224:14210/21:00123250 - isvavai.cz</a>
Result on the web
<a href="https://raslan2021.nlp-consulting.net/" target="_blank" >https://raslan2021.nlp-consulting.net/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Building a Dataset for Detection of Verb Coordinations with a Shared Argument
Original language description
Coordinate structures represent a specific linguistic problem relating to questions of sentence boundaries and multiple sentence element [1]. A particular difficulty lies in processing at the level of automatic syntactic analysis of the sentence. To deal with the outlined issue, we decided to use the machine learning classification method, for which it is necessary to prepare a sufficiently large amount of data. This paper presents the methods and procedures we used to build a dataset focused on the phenomenon of verb coordinations that may share an argument in context.
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
60203 - Linguistics
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
Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)
ISBN
9788026316701
ISSN
2336-4289
e-ISSN
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Number of pages
9
Pages from-to
125-133
Publisher name
Tribun EU
Place of publication
Brno
Event location
Brno
Event date
Jan 1, 2021
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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