Papers by Ashwani Bhat
CISLR: Corpus for Indian Sign Language Recognition (2022.emnlp-main)
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Abhinav Joshi, Ashwani Bhat, Pradeep S, Priya Gole, Shashwat Gupta, Shreyansh Agarwal, Ashutosh Modi
| Challenge: | Existing work on natural language processing has shown promising improvements in text classification, translation and generation in widely used spoken languages. |
| Approach: | They propose a new Indian Sign Language corpus for word-level recognition using videos . they propose CISLR model that leverages resource rich American Sign Language to learn generalized features for improving Indian Sign language predictions. |
| Outcome: | The proposed model improves word recognition in Indian Sign Language using video . it leverages resource rich American Sign Language to learn generalized features . |
Adv-OLM: Generating Textual Adversaries via OLM (2021.eacl-main)
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| Challenge: | Recent studies have pointed out the vulnerability of deep learning models to adversarial attacks. |
| Approach: | They propose a black-box attack method that adapts the idea of Occlusion and Language Models to the current state of the art attack methods. |
| Outcome: | The proposed method outperforms existing methods on several text classification tasks. |
COGMEN: COntextualized GNN based Multimodal Emotion recognitioN (2022.naacl-main)
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| Challenge: | During a conversation, a person’s emotions are influenced by the other speaker’s utterances and their own emotional state over the utterrances. |
| Approach: | They propose a Graph Neural Network based Multi-modal Emotion recognitioN system that leverages local and global information in a conversation. |
| Outcome: | The proposed system gives state-of-the-art results on IEMOCAP and MOSEI datasets and detailed ablation experiments show the importance of modeling information at both levels. |