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» Joint Inference in Information Extraction
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110
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KDD
2007
ACM
193views Data Mining» more  KDD 2007»
15 years 10 months ago
Joint optimization of wrapper generation and template detection
Many websites have large collections of pages generated dynamically from an underlying structured source like a database. The data of a category are typically encoded into similar...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen, Di Wu
JMLR
2008
159views more  JMLR 2008»
14 years 9 months ago
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
MIRAGE
2007
Springer
15 years 3 months ago
Model-Based Feature Extraction for Gait Analysis and Recognition
Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract h...
Imed Bouchrika, Mark S. Nixon
94
Voted
NIPS
2004
14 years 11 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
CICLING
2005
Springer
15 years 3 months ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes