| Strategies for training large scale neural network language models T Mikolov, A Deoras, D Povey, L Burget, J Černocký 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 196-201, 2011 | 738 | 2011 |
| Application of deep belief networks for natural language understanding R Sarikaya, GE Hinton, A Deoras IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (4), 778-784, 2014 | 603 | 2014 |
| Empirical evaluation and combination of advanced language modeling techniques T Mikolov, A Deoras, S Kombrink, L Burget, J Černocký Proc. Interspeech 2011, 605-608, 2011 | 418 | 2011 |
| Rnnlm-recurrent neural network language modeling toolkit T Mikolov, S Kombrink, A Deoras, L Burget, J Cernocky Proc. of the 2011 ASRU Workshop, 196-201, 2011 | 381 | 2011 |
| Assignment of semantic labels to a sequence of words using neural network architectures A Deoras, K Yao, X He, L Deng, GG Zweig, R Sarikaya, D Yu, MY Hwang, ... US Patent 10,867,597, 2020 | 298 | 2020 |
| Subword language modeling with neural networks T Mikolov, I Sutskever, A Deoras, HS Le, S Kombrink, J Cernocky preprint (http://www. fit. vutbr. cz/imikolov/rnnlm/char. pdf) 8 (67), 2012 | 242 | 2012 |
| Scaling statistical language understanding systems across domains and intents R Sarikaya, A Deoras, FA Celikyilmaz, R Janardhana, D Boies US Patent 9,292,492, 2016 | 172 | 2016 |
| Deep belief network based semantic taggers for spoken language understanding. A Deoras, R Sarikaya Interspeech, 2713-2717, 2013 | 90 | 2013 |
| Zero-shot recommender systems H Ding, Y Ma, A Deoras, Y Wang, H Wang arXiv preprint arXiv:2105.08318, 2021 | 85 | 2021 |
| Variational approximation of long-span language models for LVCSR A Deoras, T Mikolov, S Kombrink, M Karafiát, S Khudanpur 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 75 | 2011 |
| Language models as recommender systems: Evaluations and limitations Y Zhang, H Ding, Z Shui, Y Ma, J Zou, A Deoras, H Wang | 70 | 2021 |
| Orphaned utterance detection system and method G Tur, A Deoras, D Hakkani-Tur US Patent App. 14/466,642, 2016 | 64 | 2016 |
| Semantic parsing using word confusion networks with conditional random fields. G Tür, A Deoras, D Hakkani-Tür Interspeech, 2579-2583, 2013 | 63 | 2013 |
| Decoding-time prediction of non-verbalized tokens J Fritsch, A Deoras, D Koll US Patent 8,918,317, 2014 | 50 | 2014 |
| A fast re-scoring strategy to capture long-distance dependencies A Deoras, T Mikolov, K Church Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 50 | 2011 |
| Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model A Deoras, T Mikolov, S Kombrink, K Church Speech Communication 55 (1), 162-177, 2013 | 42 | 2013 |
| Detecting out-of-domain utterances addressed to a virtual personal assistant G Tur, A Deoras, D Hakkani-Tür Proceedings of the Annual Conference of the International Speech …, 2014 | 28 | 2014 |
| Task specific continuous word representations for mono and multi-lingual spoken language understanding T Anastasakos, YB Kim, A Deoras 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 27 | 2014 |
| Joint Decoding for Speech Recognition and Semantic Tagging. A Deoras, R Sarikaya, G Tür, D Hakkani-Tür INTERSPEECH, 1067-1070, 2012 | 26 | 2012 |
| Joint Decoding of Words and Tags for Conversational Understanding AK Deoras, DZ Hakkani-Tur, R Sarikaya, G Tur US Patent App. 13/528,124, 2013 | 22 | 2013 |
