Open-Domain Question Answering from Large Text Collections

Open-Domain Question Answering from Large Text Collections - Studies in Computational Linguistics

1

Hardback (02 Apr 2003)

Not available for sale

Includes delivery to the United States

Out of stock

This service is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Publisher's Synopsis

Many books have indexes, but most textual media have none. Newspapers, legal transcripts, conference proceedings, correspondence, video subtitles, and web pages are increasingly accessible with computers, yet are still without indexes or other sophisticated means of finding the excerpts most relevant to a reader's question.

Better than an index, and much better than a keyword search, are the high-precision computerized question-answering systems explored in this book. Marius Pasca presents novel and robust methods for capturing the semantics of natural language questions and for finding the most relevant portions of texts. This research has led to a fully implemented and rigorously evaluated architecture that has produced experimental results showing great promise for the future of internet search technology.

Book information

ISBN: 9781575864273
Publisher: Center for the Study of Language and Inf
Imprint: CSLI Publications
Pub date:
Edition: 1
DEWEY: 006.3
DEWEY edition: 21
Language: English
Number of pages: 220
Weight: 340g
Height: 24mm
Width: 16mm
Spine width: 2mm