D 2021

Building a Dataset for Detection of Verb Coordinations with a Shared Argument

MEDKOVÁ, Helena

Basic information

Original name

Building a Dataset for Detection of Verb Coordinations with a Shared Argument

Authors

MEDKOVÁ, Helena (203 Czech Republic, guarantor, belonging to the institution)

Edition

Brno, Recent Advances in Slavonic Natural Language Processing (RASLAN 2021), p. 125-133, 9 pp. 2021

Publisher

Tribun EU

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

60203 Linguistics

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

RIV identification code

RIV/00216224:14210/21:00123250

Organization unit

Faculty of Arts

ISBN

978-80-263-1670-1

ISSN

Keywords in English

Coordination; Zeugma; Syntactic analysis; UDPipe 2; Brat annotation tool; VerbaLex

Tags

Tags

International impact
Změněno: 31/3/2022 16:35, Mgr. et Mgr. Lucie Racyn

Abstract

V originále

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.

Links

MUNI/A/1184/2020, interní kód MU
Name: Využití strojového učení při detekci společného argumentu v koordinovaných strukturách
Investor: Masaryk University