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» Improving Language Models by Clustering Training Sentences
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EWMF
2003
Springer
14 years 2 months ago
Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing
This paper presents a novel method for extracting information from collections of Web pages across different sites. Our method uses a standard wrapper induction algorithm and explo...
Georgios Sigletos, Georgios Paliouras, Constantine...
ACL
2008
13 years 10 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
BMCBI
2008
153views more  BMCBI 2008»
13 years 9 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
SIGIR
2005
ACM
14 years 2 months ago
Boosted decision trees for word recognition in handwritten document retrieval
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
Nicholas R. Howe, Toni M. Rath, R. Manmatha
TCAD
2008
114views more  TCAD 2008»
13 years 9 months ago
Word-Level Predicate-Abstraction and Refinement Techniques for Verifying RTL Verilog
el Predicate Abstraction and Refinement Techniques for Verifying RTL Verilog Himanshu Jain, Daniel Kroening, Natasha Sharygina, and Edmund M. Clarke, Fellow, IEEE As a first step, ...
Himanshu Jain, Daniel Kroening, Natasha Sharygina,...