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» Extracting Named Entities and Synonyms from Wikipedia
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NLPRS
2001
Springer
15 years 2 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,...
NLDB
2005
Springer
15 years 3 months ago
Combining Data-Driven Systems for Improving Named Entity Recognition
Abstract. The increasing flow of digital information requires the extraction, filtering and classification of pertinent information from large volumes of texts. An important pre...
Zornitsa Kozareva, Óscar Ferrández, ...
ACL
2006
14 years 11 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
DAS
2010
Springer
14 years 11 months ago
Investigator name recognition from medical journal articles: a comparative study of SVM and structural SVM
Automated extraction of bibliographic information from journal articles is key to the affordable creation and maintenance of citation databases, such as MEDLINE
Xiaoli Zhang, Jie Zou, Daniel X. Le, George R. Tho...
103
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CIKM
2007
Springer
14 years 11 months ago
Proximity-based document representation for named entity retrieval
One aspect in which retrieving named entities is different from retrieving documents is that the items to be retrieved – persons, locations, organizations – are only indirect...
Desislava Petkova, W. Bruce Croft