Information extraction

author: Ronen Feldman, Bar-Ilan University

Categories

Top: Computer Science: Information Extraction

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*Slides*
2:19	Information Extraction : Theory and Practice
3:01	Background
3:31	Find Documents matching the Query
6:03	Text Mining
6:30	Let Text Mining Do the Legwork for You
8:33	Context-Aware Business Intelligence
9:58	Text Analytics
10:33	Context-Aware Business Intelligence
20:19	Text Analytics: How it Works
20:52	Information Extraction
40:24	What is Information Extraction?
41:11	Relevant IE Definitions
42:45	IE Accuracy by Information Type
43:38	Unstructured Text
47:25	Structured (Desired) Information
47:53	MUC Conferences
48:40	Applications of Information Extraction
50:14	Where would IE be useful?
55:50	Approaches for Building IE Systems
59:44	Approaches for Building IE Systems
62:21	Components of IE System
69:21	The Extraction Engine
71:36	Why is IE Difficult?
77:26	Morphological Analysis
78:42	Using Vocabularies
81:50	Part of Speech Tagging
82:27	A simple POS Strategy
83:25	Comparing RB Systems with ML Based Systems
84:29	Introduction to HMMs for IE
84:37	What is HMM?
86:33	Notational Conventions
89:03	The Classic Problems Related to HMMs
90:13	Viterbi (Example)

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