System Design Methodologies Professor
Campus Box 352500
University of Washington
Seattle, WA 98195
Research Web Page: Transformation, Interpretation and Analysis of Language (TIAL) Group
Mari Ostendorf joined the University of Washington Electrical & Computer Engineering Department in 1999. She is an Endowed Professor of System Design Methodologies in the ECE Department, an Adjunct Professor in CSE and Linguistics, as well as Associate Vice Provost for Research. She is a Fellow of the IEEE, ISCA and ACL, a former Australian-American Fulbright Scholar, a member of the Washington State Academy of Sciences, a Corresponding Fellow of the Royal Society of Edinburgh, and a member of the National Academy of Engineering. Prof. Ostendorf has published over 290 papers on a variety of topics in speech and language processing. For her contributions in this area, she was awarded the 2018 IEEE James L. Flanagan Speech and Audio Processing Award. In 2017, she served as a faculty advisor for the student team winning the inaugural AlexaPrize competition to build a socialbot, and conversational AI is a focus of her current work. Her research explores dynamic models for understanding and generating speech and text, particularly in multi-party contexts, and it contributes to a variety of applications, from education to clinical and scientific information extraction.
Awards and Honors
Member, National Academy of Engineering, 2021
Corresponding Fellow, Royal Society of Edinburgh, 2020
Member, Washington State Academy of Sciences, 2019
IEEE James L. Flanagan Speech and Audio Processing Award, 2018
IEEE Signal Processing Society Meritorious Service Award, 2018
Faculty Advisor of Winning Team for 2017 Alexa Prize
IEEE Signal Processing Society Distinguished Lecturer, 2013-2014
Scottish Informatics and Computer Science Alliance Distinguished Visiting Fellow, 2012, Edinburgh
Fulbright Scholar, 2012-2013
IEEE Hewlett-Packard/Harriett B. Rigas Award, 2010
Fellow: IEEE 2005, ISCA 2008, ACL 2018
- Automatic analysis of human-human call center conversations
- Automatic extraction of information from clinical notes
- Natural language processing to support development of more accurate STEM assessments
- Automatic speech recognition of air traffic control communications
- Computational modeling of prosody for speech understanding
- V. Zayats, K. Toutanova and M. Ostendorf, "Representations for question answering for documents with tables and text," Proc. EMNLP, 2021.
- Z. Wu, M. Galley, C. Brockett, Y. Zhang, X. Gao, C. Quirk, R. Koncel-Kedziorski, J. Gao, H. Hajishirzi and M. Ostendorf, Proc. AAAI, 2021.
- K. Lybarger, M. Ostendorf and M. Yetisgen, "Annotating social determinants of health using active learning and characterizing determinants using neural event extraction," J. Biomedical Informatics, 2021.
- T. Trang, M. Tinkler, G. Yeung, A. Alwan, and M. Ostendorf, ``Analysis of Disfluency in Children's Speech,'' Proc. Interspeech, 2020.
- A. Jaech, B. Zhang, M. Ostendorf and D. Kirschen, ``Real-Time Prediction of the Duration of Distribution System Outages,'' IEEE Transactions on Power Systems, 34(1):773-781, 2019.
- J. Hou, Y. Shi, M. Ostendorf, M.-Y. Hwang, and L. Xie, ``Region Proposal Network Based Small-Footprint Keyword Spotting,'' Signal Processing Letters, 26(10):1471-1475, 2019.
- V. Zayats, T. Tran, R. Wright, C. Mansfield and M. Ostendorf, ``Disfluencies and human speech transcription errors,'' Proc. Interspeech, 2019.
- T. Tran, J. Yuan, Y. Liu and M. Ostendorf, ``On the role of style in parsing speech with neural models,'' Proc. Interspeech, 2019
- F. Nadeem, H. Nguyen, Y. Liu and M. Ostendorf, "Automated essay scoring with discourse-aware neural models," Proc. Workshop on Innovative Use of NLP for Building Educational Applications, 2019
- Y. Luan, D. Wadden, L. He, A. Shah, M. Ostendorf and H. Hajishirzi, "A general framework for information extraction using dynamic span graphs,'' Proc. NAACL, 2019
- H. Cheng, H. Fang and M. Ostendorf, "A dynamic speaker model for conversational interactions,'' Proc. NAACL, 2019
- V. Zayats and M. Ostendorf, "Giving attention to the unexpected: using prosody innovations in disfluency detection,'' Proc. NAACL, 2019.
- K. Lybarger, M. Ostendorf and M. Yetisgen, "Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes,'' Proc. Symposium of the American Medical Informatics Association, 2018
- A. Jaech and M. Ostendorf, "Low-rank RNN adaptation for context-aware language modeling,'' Trans. Association of Computational Linguistics, pp. 497-510, 2018
- F. Nadeem and M. Ostendorf, "Estimating linguistic complexity for science texts,'' Proc. Workshop on Innovative Use of NLP for Building Educational Applications, 2018
Bo Roy Lu, Ellen Wu (co-supervised with H. Hajishirzi), Kevin Everson, Michael Lee, Sitong Zhou, Sara Ng
Trang Tran, 2020 -- Postdoctoral Fellow, USC Institute for Creative Technologies
Vicky Zayats, 2020 -- Google AI
Kevin Lybarger, 2020 -- Postdoctoral Fellow, UW Biomedical & Health Informatics
Farah Nadeem, 2020 -- Assistant Professor, National University of Computer and Emerging Sciences, Pakistan
Hao Cheng, 2019 -- Microsoft Research
Yi Luan, 2019 -- Google AI
Hao Fang, 2019 -- Microsoft, Semantic Machines
Aaron Jaech, 2018 -- Facebook
Ji He, 2017 -- Citadel
Editor-in-Chief, IEEE Open Journal of Signal Processing (2019-2022)
Editorial Board, IEEE Journal of Special Topics in Signal Process (2016-2018)
Vice President of Publications, IEEE Signal Processing Society (2012-2014)
Editor-in-Chief, IEEE Trans. on Audio, Speech and Language Processing (2006-2008)