Automatic classification of patterns from the Pattern Dictionary of English Verbs

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F14%3A00074831" target="_blank" >RIV/00216224:14330/14:00074831 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automatic classification of patterns from the Pattern Dictionary of English Verbs
Original language description
The paper presents a supervised approach to semantic parsing, based on a new semantic resource, the Pattern Dictionary of English Verbs (PDEV). PDEV lists the most frequent patterns of English verbs identified in corpus. Each argument in a pattern is semantically categorized with semantic types from the PDEV ontology. Each pattern is linked to a set of sentences from the British National Corpus. The article describes PDEV in details and presents the task of pattern classification. The system described is based on a distributional approach, and achieves 66% in Micro-average F1 across a sample of 25 of the most frequent verbs.
Czech name
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Czech description
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Project
<a href="/en/project/LM2010013" target="_blank" >LM2010013: LINDAT-CLARIN: Institute for analysis, processing and distribution of linguistic data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Joint Symposium on Semantic Processing 2013: Textual Inference and Structures in Corpora
ISBN
9781629935393
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
95-99
Publisher name
Curran Associates, Inc.
Place of publication
Trento
Event location
Trento
Event date
Jan 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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