1 code implementation • EMNLP (WNUT) 2020 • Sharanya Chakravarthy, Anjana Umapathy, Alan W Black
The presence of large-scale corpora for Natural Language Inference (NLI) has spurred deep learning research in this area, though much of this research has focused solely on monolingual data.
no code implementations • EMNLP (WNUT) 2020 • Karthik Radhakrishnan, Tushar Kanakagiri, Sharanya Chakravarthy, Vidhisha Balachandran
The rise in the usage of social media has placed it in a central position for news dissemination and consumption.
1 code implementation • FNP (COLING) 2020 • Sharanya Chakravarthy, Tushar Kanakagiri, Karthik Radhakrishnan, Anjana Umapathy
Automatic identification of cause-effect relationships from data is a challenging but important problem in artificial intelligence.
no code implementations • 14 Jan 2021 • Vinay Damodaran, Sharanya Chakravarthy, Akshay Kumar, Anjana Umapathy, Teruko Mitamura, Yuta Nakashima, Noa Garcia, Chenhui Chu
Visual Question Answering (VQA) is of tremendous interest to the research community with important applications such as aiding visually impaired users and image-based search.