QA@INEX Track 2011: Question Expansion and Reformulation Using the REG Summarization System

  • Jorge Vivaldi
  • Iria da Cunha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7424)


In this paper, our strategy and results for the INEX@QA 2011 question-answering task are presented. In this task, a set of 50 documents is provided by the search engine Indri, using some queries. The initial queries are titles associated with tweets. Reformulation of these queries is carried out using terminological and named entities information. To design the queries, the full process is divided into 2 steps: a) both titles and tweets are POS tagged, and b) queries are expanded or reformulated, using: terms and named entities included in the title, terms and named entities found in the tweet related to those ones, and Wikipedia redirected terms and named entities from those ones included in the title. In our work, the automatic summarization system REG is used to summarize the 50 documents obtained with these queries. The algorithm models a document as a graph to obtain weighted sentences. A single document is generated and it is considered the answer of the query. This strategy, combining summarization and question reformulation, obtains good results regarding informativeness and readability.


INEX Question-Answering Terms Named Entities Wikipedia Automatic Summarization REG 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jorge Vivaldi
    • 1
  • Iria da Cunha
    • 1
  1. 1.Institut Universitari de Lingüística AplicadaUniversitat Pompeu FabraBarcelonaSpain

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