Welcome to the InfoSci Platform
Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains

Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains

Brigitte Grau
Copyright: © 2012 |Pages: 27
ISBN13: 9781466603301|ISBN10: 1466603305|EISBN13: 9781466603318
DOI: 10.4018/978-1-4666-0330-1.ch015
Cite Chapter Cite Chapter

MLA

Grau, Brigitte. "Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains." Next Generation Search Engines: Advanced Models for Information Retrieval, edited by Christophe Jouis, et al., IGI Global, 2012, pp. 344-370. https://doi.org/10.4018/978-1-4666-0330-1.ch015

APA

Grau, B. (2012). Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains. In C. Jouis, I. Biskri, J. Ganascia, & M. Roux (Eds.), Next Generation Search Engines: Advanced Models for Information Retrieval (pp. 344-370). IGI Global. https://doi.org/10.4018/978-1-4666-0330-1.ch015

Chicago

Grau, Brigitte. "Finding Answers to Questions, in Text Collections or Web, in Open Domain or Specialty Domains." In Next Generation Search Engines: Advanced Models for Information Retrieval, edited by Christophe Jouis, et al., 344-370. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0330-1.ch015

Export Reference

Mendeley
Favorite

Abstract

This chapter is dedicated to factual question answering, i.e., extracting precise and exact answers to question given in natural language from texts. A question in natural language gives more information than a bag of word query (i.e., a query made of a list of words), and provides clues for finding precise answers. The author first focuses on the presentation of the underlying problems mainly due to the existence of linguistic variations between questions and their answerable pieces of texts for selecting relevant passages and extracting reliable answers. The author first presents how to answer factual question in open domain. The author also presents answering questions in specialty domain as it requires dealing with semi-structured knowledge and specialized terminologies, and can lead to different applications, as information management in corporations for example. Searching answers on the Web constitutes another application frame and introduces specificities linked to Web redundancy or collaborative usage. Besides, the Web is also multilingual, and a challenging problem consists in searching answers in target language documents other than the source language of the question. For all these topics, this chapter presents main approaches and the remaining problems.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.