Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-09T06:26:35.618Z Has data issue: false hasContentIssue false

Industry Watch: Is 2007 the Year of Question-Answering?

Published online by Cambridge University Press:  19 February 2007

ROBERT DALE
Affiliation:
Centre for Language Technology, Macquarie University, Sydney, Australia

Abstract

Back at the beginning of 2000, I was a member of a working group tasked to come up with some guidelines for revamping my University's website.During one of our meetings, someone made the suggestion thatdecisions about howto structure and present information on the website should be driven by the kinds of questions that users come to the site with.Suddenly a light went on, and there appeared an idea for data gathering that might provide us withsome useful information. To find out what people really wanted to know whenthey visited the website, we would replace the University's searchengine by a page that invited the user to type in his or her query as a full natural language question. Appropriately chosen examples would be given todemonstrate that using real questions delivered better pages as a result. The data gathered would tell us what people were really looking for, more than could be gleaned from conventional search queries, and would therefore help usto better structure the information available on the website.

Type
Papers
Copyright
2007 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)