Merging Verb Senses of Hindi WordNet using Word Embeddings
Sudha Bhingardive, Ratish Puduppully, Dhirendra Singh, Pushpak Bhattacharyya · 2014
In this paper, we present an approach for merging fine-grained verb senses of Hindi WordNet. Senses are merged based on gloss similarity score. We explore the use of word embeddings for gloss similar-ity computation and compare with various WordNet based gloss similarity measures. Our results indicate that word embeddings show significant improvement over Word-Net based measures. Consequently, we observe an increase in accuracy on merg-ing fine-grained senses. Gold standard data constructed for our experiments is made available. 1