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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