| 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 | 715 | 2014 |
| Prosody-based automatic segmentation of speech into sentences and topics E Shriberg, A Stolcke, D Hakkani-Tür, G Tür Speech communication 32 (1-2), 127-154, 2000 | 622 | 2000 |
| Multi-domain joint semantic frame parsing using bi-directional rnn-lstm. D Hakkani-Tür, G Tür, A Celikyilmaz, YN Chen, J Gao, L Deng, YY Wang Interspeech, 715-719, 2016 | 470 | 2016 |
| Combining active and semi-supervised learning for spoken language understanding G Tur, D Hakkani-Tür, RE Schapire Speech Communication 45 (2), 171-186, 2005 | 345 | 2005 |
| Building a Turkish treebank K Oflazer, B Say, DZ Hakkani-Tür, G Tür Treebanks: Building and using parsed corpora, 261-277, 2003 | 334 | 2003 |
| Library of existing spoken dialog data for use in generating new natural language spoken dialog systems L Begeja, G DiFabbrizio, DC Gibbon, DZ Hakkani-Tur, Z Liu, BS Renger, ... US Patent 9,240,197, 2016 | 321 | 2016 |
| System and method for building emotional machines DZ Hakkani-Tur, JJ Liscombe, G Riccardi US Patent 7,912,720, 2011 | 285 | 2011 |
| Translating natural language utterances to keyword search queries DZ Hakkani-Tur, G Tur, R Iyer, LP Heck US Patent 9,064,006, 2015 | 283 | 2015 |
| 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, ... arXiv preprint arXiv:1907.01669, 2019 | 263 | 2019 |
| Topical-chat: Towards knowledge-grounded open-domain conversations K Gopalakrishnan, B Hedayatnia, Q Chen, A Gottardi, S Kwatra, ... arXiv preprint arXiv:2308.11995, 2023 | 258 | 2023 |
| Statistical morphological disambiguation for agglutinative languages DZ Hakkani-Tür, K Oflazer, G Tür Computers and the Humanities 36, 381-410, 2002 | 256 | 2002 |
| What is left to be understood in ATIS? G Tur, D Hakkani-Tür, L Heck 2010 IEEE Spoken Language Technology Workshop, 19-24, 2010 | 248 | 2010 |
| Active learning: Theory and applications to automatic speech recognition G Riccardi, D Hakkani-Tur IEEE transactions on speech and audio processing 13 (4), 504-511, 2005 | 224 | 2005 |
| The CALO meeting assistant system G Tur, A Stolcke, L Voss, S Peters, D Hakkani-Tur, J Dowding, B Favre, ... IEEE Transactions on Audio, Speech, and Language Processing 18 (6), 1601-1611, 2010 | 222 | 2010 |
| Eye gaze for spoken language understanding in multi-modal conversational interactions A Prokofieva, FA Celikyilmaz, DZ Hakkani-Tur, L Heck, M Slaney US Patent 10,317,992, 2019 | 218 | 2019 |
| 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 | 216 | 2015 |
| Spoken language understanding: A survey R De Mori 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 211 | 2007 |
| Automatic detection of sentence boundaries and disfluencies based on recognized words A Stolcke, E Shriberg, R Bates, M Ostendorf, D Hakkani, M Plauche, G Tur, ... Fifth International Conference on Spoken Language Processing, 1998 | 210 | 1998 |
| A hybrid hierarchical model for multi-document summarization A Celikyilmaz, D Hakkani-Tur Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 204 | 2010 |
| 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 | 196 | 2018 |
Gokhan TurVerified email at ieee.org
