Dataciencia

Colección SciELO Chile

USING DEPENDENCY PATHS FOR ANSWERING DEFINITION QUESTIONS ON THE WEB

Indexado

WoS	WOS:000267048800100
Scopus	SCOPUS_ID:67650539578

DOI

Año

2009

Tipo

proceedings paper

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras

Abstract

This work presents a new approach to automatically answer definition questions from the Web. This approach learns n-gram language models from lexicalised dependency paths taken from abstracts provided by Wikipedia and uses context information to identify candidate descriptive sentences containing target answers. Results using a prototype of the model showed the effectiveness of lexicalised dependency paths as salient indicators for the presence of definitions in natural language texts.

Revista

Revista	ISSN
Webist 2009: Proceedings Of The Fifth International Conference On Web Information Systems And Technologies	978-989-8111-81-4

Disciplinas de Investigación

WOS
Sin Disciplinas

Scopus
Sin Disciplinas

SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional

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Autores - Afiliación

Ord.	Autor	Género	Institución - País
1	FIGUEROA-AMENABAR, ALEJANDRO GASTON	Hombre	DFKI - Alemania German Research Center for Artificial Intelligence (DFKI) - Alemania
2	ATKINSON-ABUTRIDY, JOHN ANTHONY	Hombre	Universidad de Concepción - Chile
3	Filipe, J	-
4	Cordeiro, J	-

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Financiamiento

Fuente
German Federal Ministry of Education,Science, Research and Technology (BMBF)
National Council for Scientific and Technological Research (FONDECYT,Chile)

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos

Agradecimiento
This work was partially supported by a research grant from the German Federal Ministry of Education,Science, Research and Technology (BMBF) to the DFKI project HyLaP (FKZ: 01 IW F02) and the EC- funded project QALL-ME - FP6 IST-033860 (http://qallme.fbk.eu). Additionally, this research was partially sponsored by the National Council for Scientific and Technological Research (FONDECYT,Chile) under grant number 1070714.

Agradecimiento

This work was partially supported by a research grant from the German Federal Ministry of Education,Science, Research and Technology (BMBF) to the DFKI project HyLaP (FKZ: 01 IW F02) and the EC- funded project QALL-ME - FP6 IST-033860 (http://qallme.fbk.eu). Additionally, this research was partially sponsored by the National Council for Scientific and Technological Research (FONDECYT,Chile) under grant number 1070714.