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ICPR
2010
IEEE
13 years 8 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
CORR
2010
Springer
111views Education» more  CORR 2010»
13 years 4 months ago
Recognition and translation Arabic-French of Named Entities: case of the Sport places
The recognition of Arabic Named Entities (NE) is a problem in different domains of Natural Language Processing (NLP) like automatic translation. Indeed, NE translation allows the ...
Abdelmajid Ben Hamadou, Odile Piton, Héla F...
NLPRS
2001
Springer
13 years 9 months 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,...
BMCBI
2008
117views more  BMCBI 2008»
13 years 4 months ago
Cascaded classifiers for confidence-based chemical named entity recognition
Chemical named entities represent an important facet of biomedical text. We have developed a system to use character-based ngrams, Maximum Entropy Markov Models and rescoring to r...
Peter Corbett, Ann A. Copestake
ACL
2001
13 years 6 months ago
Information Extraction from Voicemail
In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from t...
Jing Huang, Geoffrey Zweig, Mukund Padmanabhan