Automatic Manipulation of Training Corpora to Make Parsers Accept Real-world Text
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AIWCBBGJQ" target="_blank" >RIV/00216208:11320/25:IWCBBGJQ - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195169614&partnerID=40&md5=e91a5062d5a98796f8cd59d78d29215a" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195169614&partnerID=40&md5=e91a5062d5a98796f8cd59d78d29215a</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Automatic Manipulation of Training Corpora to Make Parsers Accept Real-world Text
Original language description
This paper discusses how to build a practical syntactic analyzer, and addresses the distributional differences between existing corpora and actual documents in applications. As a case study we focus on noun phrases that are not headed by a main verb and sentences without punctuation at the end, which are rare in a number of Universal Dependencies corpora but frequently appear in the real-world use cases of syntactic parsers. We converted the training corpora so that their distribution is closer to that in realistic inputs, and obtained better scores both in general syntax benchmarking and a sentiment detection task, a typical application of dependency analysis. © European Language Resources Association: CC BY-NC 4.0.
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
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Jt. Workshop Multiword Expressions Univers. Depend., MWE-UD LREC-COLING - Workshop Proc.
ISBN
978-249381420-3
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
4-13
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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