Experiment on combining sources of evidence for passage retrieval

Alexander Gelbukh, Nam O. Kang, Sangyong Han

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

Resumen

Passage retrieval consists in identifying short but informative runs of a long text, given a specific user query. We discuss the sources of evidence that help choosing likely high-quality passages, such as relevance to the user query and self-containedness. These measures are different from the traditional information retrieval procedure due to the use of the context of the passage.

Idioma originalInglés
Páginas (desde-hasta)628-631
Número de páginas4
PublicaciónLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen3406
DOI
EstadoPublicada - 2005
Evento6th International Conference, CICLing 2005 - Mexico City, México
Duración: 13 feb. 200519 feb. 2005

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