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» Evaluation of text clustering methods using wordnet
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KDD
2004
ACM
103views Data Mining» more  KDD 2004»
15 years 9 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
99
Voted
FLAIRS
2000
14 years 10 months ago
Domain-Specific Knowledge Acquisition and Classification Using WordNet
For manyknowledgeintensive applications, it is necessary to have extensive domain-specific knowledgein addition to general-purpose knowledge bases usually built around MachineRead...
Dan I. Moldovan, Roxana Girju
ACL
2008
14 years 11 months ago
Semantic Types of Some Generic Relation Arguments: Detection and Evaluation
This paper presents an approach to detection of the semantic types of relation arguments employing the WordNet hierarchy. Using the SemEval-2007 data, we show that the method allo...
Sophia Katrenko, Pieter W. Adriaans
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
15 years 9 months ago
Combining clustering and co-training to enhance text classification using unlabelled data
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
Bhavani Raskutti, Herman L. Ferrá, Adam Kow...
WAIM
2007
Springer
15 years 3 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu