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CIKM
2008
Springer
13 years 8 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
ECAI
2006
Springer
13 years 8 months ago
Count-As Conditionals, Classification and Context
Abstract. Searle represents constitutive norms as count-as conditionals, written as `X counts as Y in context C'. Grossi et al. study a class of these conditionals as `in cont...
Guido Boella, Leendert W. N. van der Torre
DGO
2008
170views Education» more  DGO 2008»
13 years 8 months ago
Natural language processing and e-Government: crime information extraction from heterogeneous data sources
Much information that could help solve and prevent crimes is never gathered because the reporting methods available to citizens and law enforcement personnel are not optimal. Dete...
Chih Hao Ku, Alicia Iriberri, Gondy Leroy
EMNLP
2007
13 years 8 months ago
Finding Good Sequential Model Structures using Output Transformations
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Edward Loper
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 8 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi