| Strategies for training large scale neural network language models T Mikolov, A Deoras, D Povey, L Burget, J Černockı 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 196-201, 2011 | 641 | 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 | 513 | 2014 |
| Empirical Evaluation and Combination of Advanced Language Modeling Techniques. T Mikolov, A Deoras, S Kombrink, L Burget, J Cernockı Interspeech, 605-608, 2011 | 373 | 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 | 355 | 2011 |
| 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 | 214 | 2012 |
| 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 | 209 | 2020 |
| Deep belief network based semantic taggers for spoken language understanding. A Deoras, R Sarikaya Interspeech, 2713-2717, 2013 | 85 | 2013 |
| 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 | 82 | 2016 |
| 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 | 74 | 2011 |
| Semantic parsing using word confusion networks with conditional random fields. G Tür, A Deoras, D Hakkani-Tür INTERSPEECH, 2579-2583, 2013 | 59 | 2013 |
| 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 | 47 | 2011 |
| Decoding-time prediction of non-verbalized tokens J Fritsch, A Deoras, D Koll US Patent 8,918,317, 2014 | 42 | 2014 |
| 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 | 41 | 2013 |
| Orphaned utterance detection system and method G Tur, A Deoras, D Hakkani-Tur US Patent App. 14/466,642, 2016 | 39 | 2016 |
| Detecting out-of-domain utterances addressed to a virtual personal assistant. G Tür, A Deoras, D Hakkani-Tür Interspeech, 283-287, 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 | 26 | 2014 |
| Joint decoding for speech recognition and semantic tagging A Deoras, R Sarikaya, G Tur, D Hakkani-Tür Thirteenth Annual Conference of the International Speech Communication …, 2012 | 22 | 2012 |
| Joint discriminative decoding of words and semantic tags for spoken language understanding A Deoras, G Tur, R Sarikaya, D Hakkani-Tür IEEE transactions on audio, speech, and language processing 21 (8), 1612-1621, 2013 | 20 | 2013 |
| Jan ˇCernocky. 2011. Strategies for training large scale neural network language models T Mikolov, A Deoras, D Povey, L Burget Proc. of ASRU, 196-201, 0 | 19 | |
| Shrinkage based features for slot tagging with conditional random fields R Sarikaya, A Celikyilmaz, A Deoras, M Jeong Fifteenth Annual Conference of the International Speech Communication …, 2014 | 17 | 2014 |
