Pickering, Marcus J.; Wong, Lawrence and Rüger, Stefan
(2003).
| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/3-540-45113-7_42 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
We describe the Automatic News Summarisation and Extraction System (ANSES), which captures television news each day with the accompanying subtitles and identifies and extracts news stories from the video. Lexical chain analysis is used to provide a summary of each story and important entities are highlighted in the text.
| Item Type: | Conference or Workshop Item |
|---|---|
| ISSN: | 0302-9743 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 11994 |
| Depositing User: | Users 8580 not found. |
| Date Deposited: | 09 Oct 2008 11:09 |
| Last Modified: | 07 Dec 2018 09:13 |
| URI: | http://oro.open.ac.uk/id/eprint/11994 |
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