Semantic Clustering: an Attempt to Identify Multiword Expressions in Bengali
Tanmoy Chakraborty, Dipankar Das, Sivaji Bandyopadhyay · 2011
One of the key issues in both natural language understanding and generation is the appropriate processing of Multiword Expressions (MWEs). MWE can be defined as a semantic issue of a phrase where the meaning of the phrase may not be obtained from its constituents in a straightforward manner. This paper presents an approach of identifying bigram noun-noun MWEs from a medium-size Bengali corpus by clustering the semantically related nouns and incorporating a vector space model for similarity measurement. Additional inclusion of the English WordNet::Similarity module also improves the results considerably. The present approach also contributes to locate clusters of the synonymous noun words present in a document. Experimental results draw a satisfactory conclusion after analyzing the Precision, Recall and F-score values. 1