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IJCNLP
2005
Springer
15 years 3 months ago
Two-Phase Biomedical Named Entity Recognition Using A Hybrid Method
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
ACL
2008
14 years 11 months ago
Robust Extraction of Named Entity Including Unfamiliar Word
This paper proposes a novel method to extract named entities including unfamiliar words which do not occur or occur few times in a training corpus using a large unannotated corpus...
Masatoshi Tsuchiya, Shinya Hida, Seiichi Nakagawa
COLING
2008
14 years 11 months ago
Stopping Criteria for Active Learning of Named Entity Recognition
Active learning is a proven method for reducing the cost of creating the training sets that are necessary for statistical NLP. However, there has been little work on stopping crit...
Florian Laws, Hinrich Schütze
ACL
2003
14 years 11 months ago
Automatic Acquisition of Named Entity Tagged Corpus from World Wide Web
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
Joohui An, Seungwoo Lee, Gary Geunbae Lee
CLIN
2001
14 years 11 months ago
A Named Entity Recognition System for Dutch
We describe a Named Entity Recognition system for Dutch that combines gazetteers, handcrafted rules, and machine learning on the basis of seed material. We used gazetteers and a c...
Fien De Meulder, Walter Daelemans, Véroniqu...