Language Technologies
author:
Diana Maynard,
University of Sheffield
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| Slides | |
| 0:03 | Language Technologies (1) |
| 1:58 | What is Text Mining? |
| 2:51 | Challenge of the Semantic Web |
| 3:28 | Metadata extraction |
| 4:19 | Motivation |
| 5:10 | Information Extraction (IE) |
| 5:16 | IE is not IR |
| 5:52 | IE for Document Access |
| 7:07 | IE as an alternative to IR |
| 7:40 | Some example applications |
| 7:57 | HaSIE |
| 8:51 | HASIE |
| 9:59 | HASIE |
| 11:16 | KIM |
| 11:57 | KIM |
| 13:14 | Threat tracker |
| 13:59 | Threat tracker |
| 15:57 | Named Entity Recognition: the cornerstone of IE |
| 16:43 | Why is NE important? |
| 17:39 | Two kinds of approaches |
| 19:56 | Typical NE pipeline |
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