Enhancing Best Analysis Selection and Parser Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F02%3A00006452" target="_blank" >RIV/00216224:14330/02:00006452 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Enhancing Best Analysis Selection and Parser Comparison
Original language description
The paper discusses methods enhancing the selection of a ``best'' parsing tree from the output of natural language syntactic analysis. It presents a method for cutting away redundant parse trees based on the information obtained from a dependency tree-bank corpus. The effectivity of the enhanced parser is demonstrated by results of inter-system parser comparison. The test were run on the standard evaluation grammars (ATIS, CT and PT), our system outperforms the referential implementations.
Czech name
Enhancing Best Analysis Selection and Parser Comparison
Czech description
The paper discusses methods enhancing the selection of a ``best'' parsing tree from the output of natural language syntactic analysis. It presents a method for cutting away redundant parse trees based on the information obtained from a dependency tree-bank corpus. The effectivity of the enhanced parser is demonstrated by results of inter-system parser comparison. The test were run on the standard evaluation grammars (ATIS, CT and PT), our system outperforms the referential implementations.
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Artificial Intelligence, Proceedings of Text, Speech and Dialogue 2002
ISSN
0302-9743
e-ISSN
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Volume of the periodical
2002
Issue of the periodical within the volume
2448
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
461-466
UT code for WoS article
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EID of the result in the Scopus database
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