Cuing with word senses: A test of generation-recognition theory
نویسندگان
چکیده
منابع مشابه
Discrimination of Word Senses with Hypernyms
Languages are inherently ambiguous. Four out of five words in English have more than one meaning. Nowadays there is a growing number of small proprietary thesauri used for knowledge management for different applications. In order to enable the usage of these thesauri for automatic text annotations, we introduce a robust method for discriminating word senses using hypernyms. The method uses coll...
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We supplement WordNet entries with information on the subjectivity of its word senses. Supervised classifiers that operate on word sense definitions in the same way that text classifiers operate on web or newspaper texts need large amounts of training data. The resulting data sparseness problem is aggravated by the fact that dictionary definitions are very short. We propose a semi-supervised mi...
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We will demonstrate the output of a distributional clustering algorithm called Clustering by Committee that automatically discovers word senses from text1.
متن کاملClustering WordNet word senses
This paper presents the results of a set of methods to cluster WordNet word senses. The methods rely on different information sources: confusion matrixes from Senseval-2 Word Sense Disambiguation systems, translation similarities, hand-tagged examples of the target word senses and examples obtained automatically from the web for the target word senses. The clustering results have been evaluated...
متن کاملMerging Word Senses
WordNet, a widely used sense inventory for Word Sense Disambiguation(WSD), is often too fine-grained for many Natural Language applications because of its narrow sense distinctions. We present a semi-supervised approach to learn similarity between WordNet synsets using a graph based recursive similarity definition. We seed our framework with sense similarities of all the word-sense pairs, learn...
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ژورنال
عنوان ژورنال: Bulletin of the Psychonomic Society
سال: 1977
ISSN: 0090-5054
DOI: 10.3758/bf03336918