Hybrid Semantic Analysis System - ATIS Data Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F10%3A00504021" target="_blank" >RIV/49777513:23520/10:00504021 - 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
Hybrid Semantic Analysis System - ATIS Data Evaluation
Original language description
In this article we show a novel method of semantic parsing. The method deals with two main issues. First, it is developed to be reliable and easy to use. It uses a simple tree-based semantic annotation and it learns from data. Second, it is designed to be used in practical applications by incorporating a method for data formalization into the system. The system uses a novel parser that extends a general probabilistic context-free parser by using context for better probability estimation. The semantic parser was originally developed for Czech data and for written questions. In this article we show an evaluation of the method on a very different domain -- ATIS corpus. The achieved results are very encouraging considering the difficulties connected with the ATIS corpus.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/2C06009" target="_blank" >2C06009: Complex knowledge base tools for natural language communication with the semantic web</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advanced Data Mining and Applications - Part II.
ISBN
978-3-642-17312-7
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
376-386
Publisher name
Springer
Place of publication
Berlin
Event location
Chongqing, China
Event date
Nov 19, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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