The REG Summarization System with Question Reformulation at QA@INEX Track 2010

J. Vivaldi, I. D. Cunha, J. Ramírez · INitiative for the Evaluation of XML Retrieval · 2010

Summary

REG, a graph approach to study a fundamental problem of Natural Language Processing: the automatic summarization of documents, obtained good results regarding performance and readability, being one of the seven best systems into the INEX@QA 2010 task.

Published: 2010-12-13
Cited by: 5
References: 37
DOI: https://doi.org/10.1007/978-3-642-23577-1_27
Semantic Scholar: https://api.semanticscholar.org/CorpusID:9211991

References

Automatic Summarization Using Terminological and Semantic ResourcesJorge Vivaldi, Iria da Cunha, Juan‐Manuel Torres‐Moreno — 2010
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Cited by

Mesures de la qualité des systèmes de recherche d'informationKaren Pinel-Sauvagnat, Camille Rosenthal-Sabroux — 2013
Tweet Contextualization: a Strategy Based on Document Retrieval Using Query Enrichment and Automatic SummarizationJorge Vivaldi, Iria da Cunha — 2013
INEX Tweet Contextualization Track at CLEF 2012: Query Reformulation using Terminological Patterns and Automatic SummarizationJorge Vivaldi, Iria da Cunha — 2012
QA@INEX Track 2011: Question Expansion and Reformulation Using the REG Summarization SystemJ. Vivaldi, I. D. Cunha — 2011
IRIT at INEX: Question Answering TaskLiana Ermakova, Josiane Mothe — 2011

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