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AIRS
2010
Springer
14 years 7 months ago
Semantic Relation Extraction Based on Semi-supervised Learning
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
BMCBI
2006
151views more  BMCBI 2006»
14 years 9 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
75
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CIKM
2005
Springer
15 years 3 months ago
Using appraisal groups for sentiment analysis
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Casey Whitelaw, Navendu Garg, Shlomo Argamon
ER
2006
Springer
158views Database» more  ER 2006»
15 years 1 months ago
Database to Semantic Web Mapping Using RDF Query Languages
One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we presen...
Cristian Pérez de Laborda, Stefan Conrad
ECML
2001
Springer
15 years 2 months ago
Mining the Web for Synonyms: PMI-IR versus LSA on TOEFL
Abstract. This paper presents a simple unsupervised learning algorithm for recognizing synonyms, based on statistical data acquired by querying a Web search engine. The algorithm, ...
Peter D. Turney