| A multilayer perceptron based ensemble technique for fine-grained financial sentiment analysis MS Akhtar, A Kumar, D Ghosal, A Ekbal, P Bhattacharyya Proceedings of the 2017 conference on empirical methods in natural language …, 2017 | 108 | 2017 |
| Mt-cgcnn: Integrating crystal graph convolutional neural network with multitask learning for material property prediction S Sanyal, J Balachandran, N Yadati, A Kumar, P Rajagopalan, S Sanyal, ... arXiv preprint arXiv:1811.05660, 2018 | 50 | 2018 |
| Knowledge-enriched Two-layered Attention Network for Sentiment Analysis A Kumar, D Kawahara, S Kurohashi The 16th Annual Conference of the North American Chapter of the Association …, 2018 | 43 | 2018 |
| Emotion helps sentiment: A multi-task model for sentiment and emotion analysis A Kumar, A Ekbal, D Kawahra, S Kurohashi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 25 | 2019 |
| Iitpb at semeval-2017 task 5: Sentiment prediction in financial text A Kumar, A Sethi, MS Akhtar, A Ekbal, C Biemann, P Bhattacharyya Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 19 | 2017 |
| Mcqa: Multimodal co-attention based network for question answering A Kumar, T Mittal, D Manocha arXiv preprint arXiv:2004.12238, 2020 | 13 | 2020 |
| Language-agnostic model for aspect-based sentiment analysis MS Akhtar, A Kumar, A Ekbal, C Biemann, P Bhattacharyya Proceedings of the 13th international conference on computational semantics …, 2019 | 10 | 2019 |
| LT-ABSA: An extensible open-source system for document-level and aspect-based sentiment analysis E Ruppert, A Kumar, C Biemann Proceedings of the GSCL GermEval Shared Task on Aspect-based Sentiment in …, 2017 | 8 | 2017 |
Asif EkbalDepartment of Computer Science and Engineering, IIT Patna, IndiaVerified email at iitp.ac.in
