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» Using Corpus-derived Name Lists for Named Entity Recognition
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NLPRS
2001
Springer
14 years 8 days ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
IJCNLP
2005
Springer
14 years 1 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 ...
ICPR
2010
IEEE
13 years 11 months ago
Feature Selection Using Multiobjective Optimization for Named Entity Recognition
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
Asif Ekbal, Sriparna Saha
COLING
2002
13 years 7 months ago
Named Entity Recognition: A Maximum Entropy Approach Using Global Information
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document...
Hai Leong Chieu, Hwee Tou Ng
IJCNLP
2004
Springer
14 years 1 months ago
SVM-Based Biological Named Entity Recognition Using Minimum Edit-Distance Feature Boosted by Virtual Examples
In this paper, we propose two indepentent solutions to resolve the problems of many different spelling variants and of lack of annotated corpus for training, which are two main di...
Eunji Yi, Gary Geunbae Lee, Yu Song, Soo-Jun Park