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Kushal Chawla
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Frustrated, polite, or formal: Quantifying feelings and tone in email
N Chhaya, K Chawla, T Goyal, P Chanda, J Singh
Proceedings of the Second Workshop on Computational Modeling of People’s …, 2018
212018
Aff2Vec: Affect--Enriched Distributional Word Representations
S Khosla, N Chhaya, K Chawla
arXiv preprint arXiv:1805.07966, 2018
212018
Casino: A corpus of campsite negotiation dialogues for automatic negotiation systems
K Chawla, J Ramirez, R Clever, G Lucas, J May, J Gratch
arXiv preprint arXiv:2103.15721, 2021
62021
Bert in negotiations: Early prediction of buyer-seller negotiation outcomes
K Chawla, GM Lucas, J Gratch, J May
4*2020
Forecasting Granular Audience Size for Online Advertising
R Sinha, D Singal, P Maneriker, K Chawla, Y Shrivastava, D Pai, ...
arXiv preprint arXiv:1901.02412, 2019
42019
Machine learning techniques for generating document summaries targeted to affective tone
K Chawla, BV Srinivasan, NH Chhaya
US Patent 10,891,427, 2021
32021
Pre-trained Affective Word Representations
K Chawla, S Khosla, N Chhaya, K Jaidka
2019 8th International Conference on Affective Computing and Intelligent …, 2019
32019
Improving generation quality of pointer networks via guided attention
K Chawla, K Krishna, BV Srinivasan
arXiv preprint arXiv:1901.11492, 2019
32019
Towards Emotion-Aware Agents For Negotiation Dialogues
K Chawla, R Clever, J Ramirez, G Lucas, J Gratch
2021 9th International Conference on Affective Computing and Intelligent …, 2021
22021
Affect-enriched vector representation of words for use in machine-learning models
S Khosla, K Chawla, NH Chhaya
US Patent 11,023,685, 2021
22021
LynyrdSkynyrd at WNUT-2020 task 2: semi-supervised learning for identification of informative COVID-19 english tweets
A Sancheti, K Chawla, G Verma
arXiv preprint arXiv:2009.03849, 2020
22020
Generating formality-tuned summaries using input-dependent rewards
K Chawla, BV Srinivasan, N Chhaya
Proceedings of the 23rd Conference on Computational Natural Language …, 2019
22019
Investigating how well contextual features are captured by bi-directional recurrent neural network models
K Chawla, SK Sahu, A Anand
Proceedings of the 14th International Conference on Natural Language …, 2017
22017
Opponent Modeling in Negotiation Dialogues by Related Data Adaptation
K Chawla, GM Lucas, J May, J Gratch
arXiv preprint arXiv:2205.00344, 2022
12022
Predicting joint intent-slot structure
S Aditya, SN Reddy, P Joshi, K Chawla, B Khatri, A Mishra
US Patent App. 16/797,164, 2021
12021
Forecasting potential audience size and unduplicated audience size
R Sinha, K Chawla, Y Shrivastava, D Singal, AR Sinha, D Pai
US Patent 11,080,745, 2021
12021
Prediction of tone of interpersonal text communications
NH Chhaya, T Goyal, P Chanda, K Chawla, J Singh
US Patent 10,796,095, 2020
12020
Augmented reality predictions using machine learning
K Chawla, VP Madandas, M Sinha, G Hiranandani, A Jain
US Patent 10,755,088, 2020
12020
Detecting affective characteristics of text with gated convolutional encoder-decoder framework
K Chawla, NH Chhaya, S Khosla
US Patent App. 16/224,501, 2020
12020
Towards Building Affect sensitive Word Distributions
K Chawla, S Khosla, N Chhaya, K Jaidka
12018
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