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» Challenges from Information Extraction to Information Fusion
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ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
108
Voted
AIRS
2006
Springer
15 years 4 months ago
Evaluating Score Normalization Methods in Data Fusion
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
Shengli Wu, Fabio Crestani, Yaxin Bi
98
Voted
COLING
2000
15 years 2 months ago
Automatic Acquisition of Domain Knowledge for Information Extraction
In developing an Infbrmation Extraction tIE) system tbr a new class of events or relations, one of the major tasks is identifying the many ways in which these events or relations ...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen, ...
101
Voted
CICLING
2005
Springer
15 years 6 months ago
A Machine Learning Approach to Information Extraction
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents. A great disadvantage of current ap...
Alberto Téllez-Valero, Manuel Montes-y-G&oa...
92
Voted
AAAI
2010
15 years 2 months ago
Prioritization of Domain-Specific Web Information Extraction
It is often desirable to extract structured information from raw web pages for better information browsing, query answering, and pattern mining. Many such Information Extraction (...
Jian Huang, Cong Yu