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» Domain adaptive bootstrapping for named entity recognition
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WWW
2010
ACM
14 years 1 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
LREC
2010
175views Education» more  LREC 2010»
13 years 8 months ago
Adapting a resource-light highly multilingual Named Entity Recognition system to Arabic
We present a working Arabic information extraction (IE) system that is used to analyze large volumes of news texts every day to extract the named entity (NE) types person, organiz...
Wajdi Zaghouani, Bruno Pouliquen, Mohamed Ebrahim,...
ICASSP
2008
IEEE
14 years 1 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
COLING
2002
13 years 6 months ago
Efficient Support Vector Classifiers for Named Entity Recognition
Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
Hideki Isozaki, Hideto Kazawa
ACL
2007
13 years 8 months ago
Semantic enrichment of journal articles using chemical named entity recognition
We describe the semantic enrichment of journal articles with chemical structures and biomedical ontology terms using Oscar, a program for chemical named entity recognition (NER). ...
Colin R. Batchelor, Peter T. Corbett