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Exploring the effect of bag-of-words and bag-of-bigram features on Turkish word sense disambiguation
(2014)
Feature selection in Word Sense Disambiguation
(WSD) is as important as the selection of algorithm
to remove sense ambiguity. Bag-of-word (BoW)
features comprise the information of neighbors
around the ambiguous target ...
Building up lexical sample dataset for Turkish word sense disambiguation
(2012-07-02)
Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
The impact of collocational features in Turkish Word Sense Disambiguation.
(2012-06-13)
Word Sense Disambiguation (WSD) is the task of choosing the most appropriate sense of a word having multiple senses in a given context. Collocational features acquired from the words in neighborship with the ambiguous word ...