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» Identifying Text Polarity Using Random Walks
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ACL
2010
14 years 10 months ago
Identifying Text Polarity Using Random Walks
Automatically identifying the polarity of words is a very important task in Natural Language Processing. It has applications in text classification, text filtering, analysis of pr...
Ahmed Hassan, Dragomir R. Radev
EMNLP
2008
15 years 1 months ago
Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks
We present a graph-based semi-supervised label propagation algorithm for acquiring opendomain labeled classes and their instances from a combination of unstructured and structured...
Partha Pratim Talukdar, Joseph Reisinger, Marius P...
BMCBI
2006
128views more  BMCBI 2006»
15 years 12 days ago
New directions in biomedical text annotation: definitions, guidelines and corpus construction
Background: While biomedical text mining is emerging as an important research area, practical results have proven difficult to achieve. We believe that an important first step tow...
W. John Wilbur, Andrey Rzhetsky, Hagit Shatkay
93
Voted
BMCBI
2005
93views more  BMCBI 2005»
15 years 8 days ago
Identifying gene and protein mentions in text using conditional random fields
Ryan T. McDonald, Fernando Pereira
89
Voted
AI
2008
Springer
15 years 6 months ago
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions
In this work we show that verbs reliably represent texts when machine learning algorithms are used to learn opinions. We identify semantic verb categories that capture essential pr...
Marina Sokolova, Guy Lapalme