Metadata Extraction: Human Language technology and the Semantic Web
author:
Hamish Cunningham,
University of Sheffield
Categories
Top: Computer Science: Semantic WebTop: Computer Science: Machine Learning: Human Language Technology
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| Slides | |
| 0:03 | Human Language Technology for the Semantic Web |
| 1:01 | Are you wasting your time? |
| 2:12 | Structure of the Tutorial |
| 3:06 | The Knowledge Economy and Human Language |
| 4:01 | HLT & Knowledge: Closing the Language Loop |
| 5:09 | Background and Examples (1) |
| 7:23 | Background and Examples (2) |
| 8:11 | Structure of the Tutorial |
| 8:16 | Information Extraction (1) |
| 10:09 | Information Extraction (2) |
| 11:46 | MUC-7 tasks |
| 12:54 | An Example |
| 15:12 | Performance levels |
| 17:15 | What are Named Entities? |
| 18:10 | What are NOT NEs (MUC-7) |
| 18:45 | Basic Problems in NE |
| 19:29 | More complex problems in NE |
| 20:03 | Structure of the Tutorial |
| 20:18 | Corpora and System Development |
| 21:49 | Some NE Annotated Corpora |
| 23:02 | The MUC-7 corpus |
| 24:09 | The MUC-7 Corpus (2) |
| 24:35 | ACE – Towards Semantic Tagging of Entities |
| 26:18 | ACE Example |
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