Extensive Study on Automatic Verb Sense Disambiguation in Czech

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F06%3A10088944" target="_blank" >RIV/00216208:11320/06:10088944 - 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

Extensive Study on Automatic Verb Sense Disambiguation in Czech

Original language description

In this paper we compare automatic methods for disambiguation of verb senses, in particular we investigate Naive Bayes classifier, decision trees, and a rule-based method. Different types of features are proposed, including morphological, syntax-based, idiomatic, animacy, and WordNet-based features. We evaluate the methods together with individual feature types on two essentially different Czech corpora, VALEVAL and the Prague Dependency Treebank. The best performing methods and features are discussed.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AI - Linguistics

OECD FORD branch

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Project

<a href="/en/project/1ET101470416" target="_blank" >1ET101470416: Multimodal human sign language and speech processing for man-machine communication</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lecture Notes in Computer Science

ISSN

0302-9743

e-ISSN

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Volume of the periodical

2006

Issue of the periodical within the volume

4188

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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