Web mining for natural language engineering tasks
author:
Paolo Rosso,
Polytechnic University of Valencia
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| Slides | |
| 0:01 | Web mining for Natural Language Engineering tasks |
| 0:35 | Web mining for |
| 2:03 | Web mining for |
| 2:17 | 1. Web-based Word Sense Disambiguation |
| 3:29 | 1. Web-based Word Sense Disambiguation |
| 4:20 | 1. Web-based Word Sense Disambiguation |
| 5:18 | 1. Web-based Word Sense Disambiguation |
| 5:59 | 1. Web-based Word Sense Disambiguation |
| 6:30 | 1. Web-based Word Sense Disambiguation |
| 6:41 | 1. Web-based Word Sense Disambiguation |
| 7:56 | 1. Web-based Word Sense Disambiguation |
| 9:14 | Search Engines comparison |
| 10:26 | Remarks |
| 11:11 | Conclusions |
| 11:57 | 2. Web-based Passage Retrieval |
| 12:37 | 2. Web-based Passage Retrieval |
| 13:17 | 2. Web-based Passage Retrieval |
| 14:33 | Query N-Grams |
| 15:29 | Passage N-Grams |
| 15:57 | Term weight |
| 16:06 | Density Distance N-Gram Model |
| 16:35 | Density Distance N-Gram Model |
| 17:56 | 2. Web-based Passage Retrieval |
| 18:23 | 2. Web-based Passage Retrieval |
| 19:18 | Remarks and -> Further work |
| 19:38 | Conclusions |
| 19:43 | 3. Web-based Translation |
| 20:17 | 3. Web-based Translation |
| 20:20 | Machine Translators: |
| 20:41 | Shannon’s entropy formula: |
| 20:59 | 3. Web-based Translation |
| 21:04 | Evaluation: |
| 21:10 | 3. Web-based Translation |
| 21:24 | 3. Web-based Translation |
| 21:54 | Remarks: |
| 21:55 | Conclusions and further work: |
| 21:57 | 4. Web-based (sense discrimination) |
| 22:19 | Aim: |
| 22:43 | 4. Web-based (sense discrimination) |
| 22:45 | …Thanks |
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Paolo powah!!!!!!!! MA QUE COSA FAI, PAOLO!!!!!