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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

  • e-ISSN

  • 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