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» Extracting Significant Phrases from Text
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AAAI
2000
15 years 5 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
SIGIR
2000
ACM
15 years 8 months ago
OCELOT: a system for summarizing Web pages
Abstract We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has ...
Adam L. Berger, Vibhu O. Mittal
COLING
2010
14 years 10 months ago
Composition of Semantic Relations: Model and Applications
This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introdu...
Eduardo Blanco 0002, Hakki C. Cankaya, Dan I. Mold...
BIS
2010
165views Business» more  BIS 2010»
15 years 5 months ago
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Various information extraction (IE) systems for corporate usage exist. However, none of them target the product development and/or customer service domain, despite significant appl...
Ashwin Ittoo, Laura Maruster, Hans Wortmann, Gosse...
AIRS
2006
Springer
15 years 5 months ago
Text Mining for Medical Documents Using a Hidden Markov Model
Abstract. We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by...
Hyeju Jang, Sa-Kwang Song, Sung-Hyon Myaeng