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» Using term informativeness for named entity detection
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KDD
2004
ACM
141views Data Mining» more  KDD 2004»
14 years 8 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
LREC
2008
131views Education» more  LREC 2008»
13 years 10 months ago
System Evaluation on a Named Entity Corpus from Clinical Notes
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
Karin Schuler, Vinod Kaggal, James J. Masanz, Phil...
ACL
2006
13 years 9 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning
ICASSP
2008
IEEE
14 years 2 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
DIS
2005
Springer
14 years 2 months ago
Exploring Predicate-Argument Relations for Named Entity Recognition in the Molecular Biology Domain
In this paper, the semantic relationships between a predicate and its arguments in terms of semantic roles are employed to improve lexical-based named entity recognition (NER) in t...
Tuangthong Wattarujeekrit, Nigel Collier