| Learning symmetric collaborative dialogue agents with dynamic knowledge graph embeddings H He, A Balakrishnan, M Eric, P Liang arXiv preprint arXiv:1704.07130, 2017 | 258 | 2017 |
| Decoupling strategy and generation in negotiation dialogues H He, D Chen, A Balakrishnan, P Liang arXiv preprint arXiv:1808.09637, 2018 | 171 | 2018 |
| 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 | 114 | 2019 |
| 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 | 111 | 2021 |
| 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 | 91 | 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 | 67 | 2019 |
| Generating compositional natural language by assistant systems A Balakrishnan, R Subba, S Martin, A Challa, SCP Mei US Patent 11,042,554, 2021 | 30 | 2021 |
| Deepplaylist: using recurrent neural networks to predict song similarity A Balakrishnan, K Dixit Stanfort University, 1-7, 2014 | 18 | 2014 |
| 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 | 14 | 2019 |
| 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 | 12 | 2016 |
| 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 | 8 | 2014 |
| The whole truth and nothing but the truth: Faithful and controllable dialogue response generation with dataflow transduction and constrained decoding H Fang, A Balakrishnan, H Jhamtani, J Bufe, J Crawford, J Krishnamurthy, ... arXiv preprint arXiv:2209.07800, 2022 | 3 | 2022 |
| Malaria likelihood prediction by effectively surveying households using deep reinforcement learning P Rajpurkar, V Polamreddi, A Balakrishnan arXiv preprint arXiv:1711.09223, 2017 | 3 | 2017 |
| 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 | 3 | 2014 |
| 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 | 2 | 2019 |
| 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 | 1 | 2019 |
| Predicting Market Volatility Using Semantic Vectors and Google Trends A Balakrishnan, K Dixit | 1 | 2013 |
| 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 | | |
