Abhishek Kumar
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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
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
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
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
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
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
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
Mcqa: Multimodal co-attention based network for question answering
A Kumar, T Mittal, D Manocha
arXiv preprint arXiv:2004.12238, 2020
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