Re-evaluating evaluation in text summarization M Bhandari, P Gour, A Ashfaq, P Liu, G Neubig arXiv preprint arXiv:2010.07100, 2020 | 90 | 2020 |
Incorporating syntactic and semantic information in word embeddings using graph convolutional networks S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1809.04283, 2018 | 85 | 2018 |
Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation A Kumar, S Bhattamishra, M Bhandari, P Talukdar Proceedings of the 2019 Conference of the North American Chapter of the ¡¦, 2019 | 84 | 2019 |
Confidence-based graph convolutional networks for semi-supervised learning S Vashishth, P Yadav, M Bhandari, P Talukdar The 22nd International Conference on Artificial Intelligence and Statistics ¡¦, 2019 | 36 | 2019 |
Metrics also disagree in the low scoring range: Revisiting summarization evaluation metrics M Bhandari, P Gour, A Ashfaq, P Liu arXiv preprint arXiv:2011.04096, 2020 | 9 | 2020 |
Unsupervised causal knowledge extraction from text using natural language inference (student abstract) M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15759 ¡¦, 2021 | 6 | 2021 |
Graph convolutional networks based word embeddings S Vashishth, P Yadav, M Bhandari, P Rai, C Bhattacharyya, P Talukdar arXiv, 2018 | 6 | 2018 |
Causal Knowledge Identification and Extraction M Bhandari, O Hassanzadeh, MD Feblowitz, K Srinivas, SS Araghi US Patent App. 17/354,171, 2022 | | 2022 |
Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract) M Bhandari, M Feblowitz, O Hassanzadeh, K Srinivas, S Sohrabi | | 2021 |
Diverse Paraphrasing and its Effectiveness in Data Augmentation A Kumar, S Bhattamishra, M Bhandari, P Talukdar | | |