| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 515119 | Information Processing & Management | 2007 | 24 Pages |
Abstract
Generating summaries that meet the information needs of a user relies on (1) several forms of question decomposition; (2) different summarization approaches; and (3) textual inference for combining the summarization strategies. This novel framework for summarization has the advantage of producing highly responsive summaries, as indicated by the evaluation results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Sanda Harabagiu, Andrew Hickl, Finley Lacatusu,