MultiWOZ 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines M Eric, R Goel, S Paul, A Kumar, A Sethi, P Ku, AK Goyal, S Agarwal, ... International Conference on Language Resources and Evaluation (LREC), 2019 | 511* | 2019 |
Dialog State Tracking: A Neural Reading Comprehension Approach S Gao, A Sethi, S Agarwal, T Chung, D Hakkani-Tur arXiv preprint arXiv:1908.01946 (Accepted at SIGDIAL 2019), 2019 | 179 | 2019 |
From machine reading comprehension to dialogue state tracking: Bridging the gap S Gao, S Agarwal, T Chung, D Jin, D Hakkani-Tur arXiv preprint arXiv:2004.05827, 2020 | 62 | 2020 |
Alexa conversations: An extensible data-driven approach for building task-oriented dialogue systems A Acharya, S Adhikari, S Agarwal, V Auvray, N Belgamwar, A Biswas, ... arXiv preprint arXiv:2104.09088, 2021 | 18 | 2021 |
Few shot dialogue state tracking using meta-learning S Dingliwal, B Gao, S Agarwal, CW Lin, T Chung, D Hakkani-Tur arXiv preprint arXiv:2101.06779, 2021 | 17 | 2021 |
GraVL-BERT: graphical visual-linguistic representations for multimodal coreference resolution D Guo, A Gupta, S Agarwal, JY Kao, S Gao, A Biswas, CW Lin, T Chung, ... Proceedings of the 29th International Conference on Computational …, 2022 | 8 | 2022 |
Parsing coordination for spoken language understanding S Agarwal, R Goel, T Chung, A Sethi, A Mandal, S Matsoukas 2018 IEEE Spoken Language Technology Workshop (SLT), 677-684, 2018 | 2 | 2018 |
CMUQA: Multiple-Choice Question Answering at NTCIR-12 QA Lab-2 Task. D Dua, B Juneja, S Agarwal, K Sakamoto, D Wang, T Mitamura NTCIR, 2016 | 2 | 2016 |
Building goal-oriented dialogue systems with situated visual context S Agarwal, J Jezabek, A Biswas, E Barut, B Gao, T Chung Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13149 …, 2022 | | 2022 |