Learning deep structured semantic models for web search using clickthrough data PS Huang, X He, J Gao, L Deng, A Acero, L Heck Proceedings of the 22nd ACM international conference on Information …, 2013 | 2266 | 2013 |
Using recurrent neural networks for slot filling in spoken language understanding G Mesnil, Y Dauphin, K Yao, Y Bengio, L Deng, D Hakkani-Tur, X He, ... IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (3), 530-539, 2014 | 760 | 2014 |
Class-incremental learning via deep model consolidation J Zhang, J Zhang, S Ghosh, D Li, S Tasci, L Heck, H Zhang, CCJ Kuo Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 376 | 2020 |
Translating natural language utterances to keyword search queries DZ Hakkani-Tur, G Tur, R Iyer, LP Heck US Patent 9,064,006, 2015 | 316 | 2015 |
MSR identity toolbox v1. 0: A MATLAB toolbox for speaker-recognition research SO Sadjadi, M Slaney, L Heck Speech and Language Processing Technical Committee Newsletter 1 (4), 1-32, 2013 | 295 | 2013 |
What is left to be understood in ATIS? G Tur, D Hakkani-Tür, L Heck 2010 IEEE Spoken Language Technology Workshop, 19-24, 2010 | 271 | 2010 |
Contextual lstm (clstm) models for large scale nlp tasks S Ghosh, O Vinyals, B Strope, S Roy, T Dean, L Heck arXiv preprint arXiv:1602.06291, 2016 | 266 | 2016 |
Voice authentication system having cognitive recall mechanism for password verification LP Heck US Patent 6,671,672, 2003 | 263 | 2003 |
Eye gaze for spoken language understanding in multi-modal conversational interactions A Prokofieva, FA Celikyilmaz, DZ Hakkani-Tur, L Heck, M Slaney US Patent App. 14/496,538, 2016 | 257 | 2016 |
Eye gaze for spoken language understanding in multi-modal conversational interactions A Prokofieva, FA Celikyilmaz, DZ Hakkani-Tur, L Heck, M Slaney US Patent App. 14/496,538, 2016 | 257 | 2016 |
Deep learning for semantic parsing including semantic utterance classification YN Dauphin, DZ Hakkani-Tur, G Tur, LP Heck US Patent App. 14/260,419, 2015 | 254 | 2015 |
Taking a hint: Leveraging explanations to make vision and language models more grounded RR Selvaraju, S Lee, Y Shen, H Jin, S Ghosh, L Heck, D Batra, D Parikh Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 252 | 2019 |
Modeling dynamic prosodic variation for speaker verification. MK Sönmez, E Shriberg, LP Heck, M Weintraub ICSLP 7, 3189-9192, 1998 | 233 | 1998 |
Building a conversational agent overnight with dialogue self-play P Shah, D Hakkani-Tür, G Tür, A Rastogi, A Bapna, N Nayak, L Heck arXiv preprint arXiv:1801.04871, 2018 | 220 | 2018 |
Dialogue Learning with Human Teaching and Feedback in End-to-End Trainable Task-Oriented Dialogue Systems B Liu, G Tur, D Hakkani-Tur, P Shah, L Heck NAACL-HLT, 2060-2069, 2018 | 202 | 2018 |
Model based approach for on-screen item selection and disambiguation R Sarikaya, FA Celikyilmaz, Z Feizollahi, LP Heck, DZ Hakkani-Tur US Patent 9,412,363, 2016 | 201 | 2016 |
Task driven user intents LP Heck, M Chinthakunta, D Mitby, L Stifelman US Patent 9,842,168, 2017 | 179 | 2017 |
Automated learning from a question and answering network of humans LP Heck US Patent 7,809,664, 2010 | 175 | 2010 |
Session context modeling for conversational understanding systems M Akbacak, DZ Hakkani-Tur, G Tur, LP Heck | 171 | 2015 |
A model-based transformational approach to robust speaker recognition. R Teunen, B Shahshahani, LP Heck InterSpeech, 495-498, 2000 | 165 | 2000 |