Paper: Question Answering Using Integrated Information Retrieval and Information Extraction

ACL ID N07-1067
Title Question Answering Using Integrated Information Retrieval and Information Extraction
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

This paper addresses the task of provid- ing extended responses to questions re- garding specialized topics. This task is an amalgam of information retrieval, topical summarization, and Information Extrac- tion (IE). We present an approach which draws on methods from each of these ar- eas, and compare the effectiveness of this approach with a query-focused summa- rization approach. The two systems are evaluated in the context of the prosecution queries like those in the DARPA GALE distillation evaluation.