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BMCBI
2005
136views more  BMCBI 2005»
13 years 7 months ago
Gene/protein name recognition based on support vector machine using dictionary as features
Background: Automated information extraction from biomedical literature is important because a vast amount of biomedical literature has been published. Recognition of the biomedic...
Tomohiro Mitsumori, Sevrani Fation, Masaki Murata,...
IBERAMIA
2004
Springer
14 years 26 days ago
Improving the Performance of a Named Entity Extractor by Applying a Stacking Scheme
Abstract. In this paper we investigate the way of improving the performance of a Named Entity Extraction (NEE) system by applying machine learning techniques and corpus transformat...
José A. Troyano, Víctor J. Dí...
CICLING
2007
Springer
14 years 1 months ago
Handling Conjunctions in Named Entities
Although the literature contains reports of very high accuracy figures for the recognition of named entities in text, there are still some named entity phenomena that remain probl...
Robert Dale, Pawel P. Mazur
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 7 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
ACL
2003
13 years 8 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