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» Word Importance Discrimination Using Context Information
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PAMI
2010
417views more  PAMI 2010»
13 years 5 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
EMNLP
2006
13 years 8 months ago
Context-Dependent Term Relations for Information Retrieval
Co-occurrence analysis has been used to determine related words or terms in many NLP-related applications such as query expansion in Information Retrieval (IR). However, related w...
Jing Bai, Jian-Yun Nie, Guihong Cao
ANLP
1997
84views more  ANLP 1997»
13 years 8 months ago
High Performance Segmentation of Spontaneous Speech Using Part of Speech and Trigger Word Information
We describe and experimentally evaluate an efficient method for automatically determining small clause boundaries in spontaneous speech. Our method applies an artificial neural ne...
Marsal Gavaldà, Klaus Zechner, Gregory Aist
CONTEXT
2001
Springer
13 years 12 months ago
WordSieve: A Method for Real-Time Context Extraction
Abstract. In order to be useful, intelligent information retrieval agents must provide their users with context-relevant information. This paper presents WordSieve, an algorithm fo...
Travis Bauer, David B. Leake
ISCI
2006
136views more  ISCI 2006»
13 years 7 months ago
Computing with words for text processing: An approach to the text categorization
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed. This specific problem of information retrieval (IR) becomes more...
Slawomir Zadrozny, Janusz Kacprzyk