Anusha Balakrishnan
Anusha Balakrishnan
Research Scientist, Microsoft Semantic Machines
Verified email at - Homepage
Cited by
Cited by
Learning symmetric collaborative dialogue agents with dynamic knowledge graph embeddings
H He, A Balakrishnan, M Eric, P Liang
arXiv preprint arXiv:1704.07130, 2017
Decoupling strategy and generation in negotiation dialogues
H He, D Chen, A Balakrishnan, P Liang
arXiv preprint arXiv:1808.09637, 2018
Constrained decoding for neural NLG from compositional representations in task-oriented dialogue
A Balakrishnan, J Rao, K Upasani, M White, R Subba
arXiv preprint arXiv:1906.07220, 2019
Recommendation as a communication game: Self-supervised bot-play for goal-oriented dialogue
D Kang, A Balakrishnan, P Shah, P Crook, YL Boureau, J Weston
arXiv preprint arXiv:1909.03922, 2019
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG Systems
A Challa, K Upasani, A Balakrishnan, R Subba
arXiv preprint arXiv:1904.03279, 2019
A tree-to-sequence model for neural nlg in task-oriented dialog
J Rao, K Upasani, A Balakrishnan, M White, A Kumar, R Subba
Proceedings of the 12th International Conference on Natural Language …, 2019
Deepplaylist: using recurrent neural networks to predict song similarity
A Balakrishnan, K Dixit
Stanfort University, 1-7, 2014
Documenting endangered languages with the wordseye linguistics tool
M Ulinski, A Balakrishnan, D Bauer, B Coyne, J Hirschberg, O Rambow
Proceedings of the 2014 Workshop on the Use of Computational Methods in the …, 2014
Deep learning using cnns for ball-by-ball outcome classification in sports
K Dixit, A Balakrishnan
Report on the Course: Convolutional Neural Networks for Visual Recognition …, 2016
WELT: Using graphics generation in linguistic fieldwork
M Ulinski, A Balakrishnan, B Coyne, J Hirschberg, O Rambow
Proceedings of 52nd Annual Meeting of the Association for Computational …, 2014
Malaria likelihood prediction by effectively surveying households using deep reinforcement learning
P Rajpurkar, V Polamreddi, A Balakrishnan
arXiv preprint arXiv:1711.09223, 2017
Grammaticality classification for natural language generation in assistant systems
A Challa, A Balakrishnan, R Subba, K Upasani, SCP Mei
US Patent 10,978,056, 2021
Predicting Market Volatility Using Semantic Vectors and Google Trends
A Balakrishnan, K Dixit
Generating compositional natural language by assistant systems
A Balakrishnan, R Subba, S Martin, A Challa, SCP Mei
US Patent 11,042,554, 2021
Proceedings of the 1st Workshop on Discourse Structure in Neural NLG
A Balakrishnan, V Demberg, C Khatri, A Rastogi, D Scott, M Walker, ...
Proceedings of the 1st Workshop on Discourse Structure in Neural NLG, 2019
The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization
K Upasani, D King, J Rao, A Balakrishnan, M White
Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR …, 2019
Modeling the Spread of the Zika Virus
A Garg, A Balakrishnan, S Usmani, V Polamreddi
Constrained Decoding for Neural NLG from Compositional Representations
A Balakrishnan, J Rao, K Upasani, M White, R Subba
Smarter initializations in multi-modal neural networks to predict transcription factor binding
A Balakrishnan, T Chaturapruek, F Fan, H Ishfaq, LA Roitman
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