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Semantic Text Processing
Published on Feb 15, 20124106 Views
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Chapter list
JSI XLike Technologies00:00
JSI XLike Technologies: Outline00:39
How we represent Text?: The Big Picture00:42
How we process data?00:43
Key paradigms when dealing with data04:21
How different research areas approach text?05:17
How do we represent text?: Levels of representation05:20
Levels of representations - 105:21
Levels of representations - 206:10
JSI News Crawler - 108:49
JSI News Crawler - 209:48
Current statistics - 110:03
Current statistics - 211:15
Text Enrichment11:44
Text enrichment with http://Enrycher.ijs.si - 111:58
Text enrichment with http://Enrycher.ijs.si - 213:08
Knowledge based summarization14:16
Summarization via semantic graphs14:37
Detailed Summarization Procedure15:17
Full document semantic graph15:35
Question Answering25:12
Asking a question in natural language25:14
…result set is set of mentions of potential answers25:17
Document browser with summarization25:18
Multilingual search25:18
Cross-Lingual Information Retrieval26:38
Cross-Lingual Information Retrieval: Outline26:48
Document representation26:59
Document Similarity27:48
Canonical Correlation Analysis - 128:04
Canonical Correlation Analysis - 229:07
Visualization of CCA29:28
MCCA – scaling to more than two views30:40
Complexity of multi-view CCA31:47
Multilingual search32:18
CLIR33:11
Experiments34:17
Results34:44
News reporting bias37:43
News Reporting Bias example38:46
Experimental setup39:07
Prediction of news source40:26
Detecting News Reporting Bias41:02
News Visualization43:07
Topic landscape of the query “Clinton” from Reuters news 1996-199743:57
Visualization of social relationships between “Clinton” and other entities44:44
Topic Trends Tracking of the documents including “Clinton”44:55
WW2 query “Pearl Harbor” into NYTimes archive46:15
WW2 query “Belgrade” into NYTimes archive46:47
WW2 query “Normandy” into NYTimes archive47:18
Videos on Text and Semantic Technologies47:34