| IndicNLPSuite: Monolingual corpora, evaluation benchmarks and pre-trained multilingual language models for Indian languages D Kakwani, A Kunchukuttan, S Golla, NC Gokul, A Bhattacharyya, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 4948-4961, 2020 | 426 | 2020 |
| An autoencoder approach to learning bilingual word representations S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ... Advances in neural information processing systems 27, 2014 | 390 | 2014 |
| Show me your evidence-an automatic method for context dependent evidence detection R Rinott, L Dankin, C Alzate, MM Khapra, E Aharoni, N Slonim Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 286 | 2015 |
| Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph A Saha, V Pahuja, M Khapra, K Sankaranarayanan, S Chandar Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 225 | 2018 |
| A survey of evaluation metrics used for NLG systems AB Sai, AK Mohankumar, MM Khapra ACM Computing Surveys (CSUR) 55 (2), 1-39, 2022 | 215 | 2022 |
| Diversity driven attention model for query-based abstractive summarization P Nema, M Khapra, A Laha, B Ravindran arXiv preprint arXiv:1704.08300, 2017 | 209 | 2017 |
| Correlational neural networks S Chandar, MM Khapra, H Larochelle, B Ravindran Neural computation 28 (2), 257-285, 2016 | 197 | 2016 |
| Towards exploiting background knowledge for building conversation systems N Moghe, S Arora, S Banerjee, MM Khapra arXiv preprint arXiv:1809.08205, 2018 | 181 | 2018 |
| DuoRC: Towards complex language understanding with paraphrased reading comprehension A Saha, R Aralikatte, MM Khapra, K Sankaranarayanan arXiv preprint arXiv:1804.07927, 2018 | 144 | 2018 |
| Towards building large scale multimodal domain-aware conversation systems A Saha, M Khapra, K Sankaranarayanan Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 128 | 2018 |
| Towards a better metric for evaluating question generation systems P Nema, MM Khapra arXiv preprint arXiv:1808.10192, 2018 | 123 | 2018 |
| Generating natural language question-answer pairs from a knowledge graph using a RNN based question generation model SR Indurthi, D Raghu, MM Khapra, S Joshi Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 117 | 2017 |
| Plotqa: Reasoning over scientific plots N Methani, P Ganguly, MM Khapra, P Kumar Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 116 | 2020 |
| Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages G Ramesh, S Doddapaneni, A Bheemaraj, M Jobanputra, R Ak, A Sharma, ... Transactions of the Association for Computational Linguistics 10, 145-162, 2022 | 106 | 2022 |
| Efficient video classification using fewer frames S Bhardwaj, M Srinivasan, MM Khapra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 102 | 2019 |
| Towards transparent and explainable attention models AK Mohankumar, P Nema, S Narasimhan, MM Khapra, BV Srinivasan, ... arXiv preprint arXiv:2004.14243, 2020 | 90 | 2020 |
| Include: A large scale dataset for indian sign language recognition A Sridhar, RG Ganesan, P Kumar, M Khapra Proceedings of the 28th ACM international conference on multimedia, 1366-1375, 2020 | 82 | 2020 |
| Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources in the same domain J Rajendran, A Srinivas, MM Khapra, P Prasanna, B Ravindran arXiv preprint arXiv:1510.02879, 2015 | 81* | 2015 |
| Ai4bharat-indicnlp corpus: Monolingual corpora and word embeddings for indic languages A Kunchukuttan, D Kakwani, S Golla, A Bhattacharyya, MM Khapra, ... arXiv preprint arXiv:2005.00085, 2020 | 76 | 2020 |
| Improving dialog evaluation with a multi-reference adversarial dataset and large scale pretraining AB Sai, AK Mohankumar, S Arora, MM Khapra Transactions of the Association for Computational Linguistics 8, 810-827, 2020 | 74 | 2020 |
Pratyush KumarMicrosoft Research, IIT Madras在 cse.iitm.ac.in 的电子邮件经过验证
