no code implementations • GWC 2016 • Harpreet Singh Arora, Sudha Bhingardive, Pushpak Bhattacharyya
In this paper, we present our work on Most Frequent Sense (MFS) detection using Word Embeddings and BabelNet features.
no code implementations • GWC 2016 • Sudha Bhingardive, Hanumant Redkar, Prateek Sappadla, Dhirendra Singh, Pushpak Bhattacharyya
This tool, web interface and the API are made available for the research purpose.
no code implementations • GWC 2016 • Dhirendra Singh, Sudha Bhingardive, Pushpak Bhattacharyyaa
In this paper, we focus on two categories of MWEs - Compound Nouns and Light Verb Constructions.
no code implementations • LREC 2022 • Yuki Nakayama, Koji Murakami, Gautam Kumar, Sudha Bhingardive, Ikuko Hardaway
There has been significant progress in the field of sentiment analysis.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
no code implementations • LREC 2016 • Dhirendra Singh, Sudha Bhingardive, Pushpak Bhattacharyya
In this paper, we present MWEs annotation dataset created for Indian languages viz., Hindi and Marathi.
no code implementations • LREC 2016 • Sudha Bhingardive, Rajita Shukla, Jaya Saraswati, Laxmi Kashyap, Dhirendra Singh, Pushpak Bhattacharyya
Various supervised, unsupervised and knowledge based approaches have been proposed for automatically determining the sense of a word in a particular context.