Mining XML documents - Bridging the gap between Machine Learning and Information Retrieval
author:
Ludovic Denoyer,
University of Paris 6
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| Slides | |
| 0:01 | XML Document Mining Challenge |
| 0:28 | Outline |
| 1:12 | What is XML DM Challenge ? |
| 1:57 | What is the XML DM Challenge ? |
| 2:29 | Context |
| 4:15 | How to learn with structures ? |
| 5:13 | Tasks with structured data |
| 6:39 | Context: ML and IR |
| 8:08 | ML and IR |
| 9:28 | ML and IR |
| 10:12 | Idea of the challenge |
| 11:20 | Description of the challenge |
| 11:28 | Tasks |
| 11:49 | Categorization/Clustering |
| 12:54 | Example |
| 14:25 | Example |
| 15:10 | Example |
| 16:37 | Difficulties |
| 17:59 | Structure Mapping |
| 19:39 | Difficulties |
| 21:13 | First part of the challenge |
| 21:33 | Description |
| 22:57 | Description |
| 23:14 | Example of Results (structure only) |
| 23:56 | INEX Structure+Content Categorization |
| 24:46 | Conclusion about the results |
| 25:34 | Conclusion about the first part of the challenge |
| 26:18 | For the next part |
| 28:10 | To convince Machine Learning Researchers |
| 29:14 | What is the second part ? |
| 30:14 | Wikipedia XML Corpus |
| 31:49 | Wikipedia XML Corpus for XML DM |
| 32:33 | INEX Corpus for XML DM |
| 33:46 | Structure Mapping Corpus |
| 34:21 | Currently |
| 34:58 | Conclusion |
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