| Harnessing Cognitive Features for Sarcasm Detection A Mishra, D Kanojia, S Nagar, K Dey, P Bhattacharyya The 54th Annual Meeting of The Association for Computational Linguistics …, 2016 | 67 | 2016 |
| Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior A Mishra, D Kanojia, P Bhattacharyya Thirtieth Association for the Advancement of Artificial Intelligence …, 2016 | 63 | 2016 |
| Leveraging Cognitive Features for Sentiment Analysis A Mishra, D Kanojia, S Nagar, K Dey, P Bhattacharyya The SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016) 20, 2016 | 59 | 2016 |
| Findings of the WMT 2022 shared task on quality estimation C Zerva, F Blain, R Rei, P Lertvittayakumjorn, JGC De Souza, S Eger, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 69-99, 2022 | 54 | 2022 |
| “A Passage to India”: Pre-trained Word Embeddings for Indian Languages S Kumar, S Kumar, D Kanojia, P Bhattacharyya Proceedings of the 1st Joint Workshop on Spoken Language Technologies for …, 2020 | 39* | 2020 |
| SlangNet: A WordNet like resource for English Slang S Dhuliawala, D Kanojia, P Bhattacharyya Language Resources and Evaluation Conference (LREC 2016) 10, 2016 | 36 | 2016 |
| A Survey on Using Gaze Behaviour for Natural Language Processing S Mathias, D Kanojia, A Mishra, P Bhattacharyya arXiv preprint arXiv:2112.15471, 2021 | 29 | 2021 |
| pyiwn: A Python-based API to access Indian Language WordNets R Panjwani, D Kanojia, P Bhattacharyya Global Wordnet Conference (GWC 2018) 9, 2018 | 24 | 2018 |
| More than meets the eye: Study of human cognition in sense annotation S Joshi, D Kanojia, P Bhattacharyya Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 18 | 2013 |
| Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour S Mathias, D Kanojia, K Patel, S Agarwal, A Mishra, P Bhattacharyya Association for Computational Linguistics (ACL 2018) 56, 2018 | 17 | 2018 |
| Cognition-aware Cognate Detection D Kanojia, P Sharma, S Ghodekar, P Bhattacharyya, G Haffari, M Kulkarni Proceedings of the 16th conference of the European Chapter of the …, 2021 | 15 | 2021 |
| A Study of the Sense Annotation Process: Man v/s Machine. A Chatterjee, S Joshi, P Bhattacharyya, D Kanojia, AK Meena GWC 2012 6th International Global Wordnet Conference, 79, 2012 | 15 | 2012 |
| Utilizing Wordnets for Cognate Detection among Indian Languages. D Kanojia, K Patel, P Bhattacharyya, M Kulkarni, G Haffari Global Wordnet Conference (2019), 2019 | 13 | 2019 |
| Indian Language Wordnets and their Linkages with Princeton WordNet D Kanojia, K Patel, P Bhattacharyya Language Resources and Evaluation Conference (LREC 2018) 11, 2018 | 12* | 2018 |
| Pushing the right buttons: adversarial evaluation of quality estimation D Kanojia, M Fomicheva, T Ranasinghe, F Blain, C Orăsan, L Specia arXiv preprint arXiv:2109.10859, 2021 | 11* | 2021 |
| Sarcasm Suite: A browser-based engine for sarcasm detection and generation A Joshi, D Kanojia, P Bhattacharyya Association for the Advancement of Artificial Intelligence Conference: Demo …, 2017 | 11 | 2017 |
| Findings of the WMT 2023 shared task on quality estimation F Blain, C Zerva, R Rei, NM Guerreiro, D Kanojia, JGC de Souza, B Silva, ... Proceedings of the Eighth Conference on Machine Translation, 629-653, 2023 | 9 | 2023 |
| Harnessing abstractive summarization for fact-checked claim detection V Bhatnagar, D Kanojia, K Chebrolu arXiv preprint arXiv:2209.04612, 2022 | 9 | 2022 |
| Cognate Identification to improve Phylogenetic trees for Indian Languages D Kanojia, M Kulkarni, P Bhattacharyya, G Haffari Proceedings of the ACM India Joint International Conference on Data Science …, 2019 | 9 | 2019 |
| Challenge Dataset of Cognates and False Friend pairs from Indian Languages D Kanojia, M Kulkarni, P Bhattacharyya, G Haffari Proceedings of The 12th Language Resources and Evaluation Conference, 3096-3102, 2020 | 8 | 2020 |
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
