World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
21270
World Ranking
1674
National Ranking
859

Research.com Recognitions

  • 2020 - Fellow of the Royal Society of Edinburgh
  • 2005 - IEEE Fellow For contributions to statistical modeling of speech signals.

Overview

Mari Ostendorf is affiliated with the University of Washington in the United States. Their research primarily spans the field of Computer Science, with a concentration on Artificial Intelligence. Other subfields represented in their work include Signal Processing, Social Psychology, Computer Vision and Pattern Recognition, and Experimental and Cognitive Psychology.

Their scholarly output is reflected in frequent publications across several venues, notably arXiv (Cornell University), where they have published 24 papers. Other significant venues include Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, the Journal of Biomedical Informatics, and The Journal of the Acoustical Society of America.

Key topics addressed in their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems
  • Speech Recognition and Synthesis
  • AI in Service Interactions
  • Machine Learning in Healthcare
  • Speech and Audio Processing

Selected recent papers by Mari Ostendorf include:

  • "Spoken language interaction with robots: Recommendations for future research", 2021, Computer Speech & Language
  • "Dialogue State Tracking with a Language Model using Schema-Driven Prompting", 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • "Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction", 2020, Journal of Biomedical Informatics
  • "A Controllable Model of Grounded Response Generation", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Selective Annotation Makes Language Models Better Few-Shot Learners", 2022, arXiv (Cornell University)

Frequent co-authors of Ostendorf include:

  • Zeqiu Wu
  • Hannaneh Hajishirzi
  • Noah A. Smith
  • Yushi Hu
  • Hao Cheng

Mari Ostendorf's work has been recognized through distinctions including being named a Fellow of the Royal Society of Edinburgh in 2020. Additionally, they were awarded IEEE Fellow status in 2005 for contributions to statistical modeling of speech signals.

Best Publications

  • TOBI: a standard for labeling English prosody.

    Kim E. A. Silverman;Mary E. Beckman;John F. Pitrelli;Mari Ostendorf

  • Segmental durations in the vicinity of prosodic phrase boundaries.

    Colin W. Wightman;Stefanie Shattuck‐Hufnagel;Mari Ostendorf;Patti J. Price

  • The use of prosody in syntactic disambiguation

    P. J. Price;M. Ostendorf;S. Shattuck‐Hufnagel;C. Fong

  • From HMM's to segment models: a unified view of stochastic modeling for speech recognition

    M. Ostendorf;V.V. Digalakis;O.A. Kimball

  • Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

    Yi Luan;Luheng He;Mari Ostendorf;Hannaneh Hajishirzi

  • Glottalization of word-initial vowels as a function of prosodic structure

    L. Dilley;S. Shattuck-Hufnagel;M. Ostendorf

  • Normalization of non-standard words

    Richard Sproat;Alan W. Black;Stanley Chen;Shankar Kumar

  • Reading Level Assessment Using Support Vector Machines and Statistical Language Models

    Sarah Schwarm;Mari Ostendorf

  • Enriching speech recognition with automatic detection of sentence boundaries and disfluencies

    Yang Liu;E. Shriberg;A. Stolcke;D. Hillard

  • Automatic labeling of prosodic patterns

    C.W. Wightman;M. Ostendorf

  • ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition

    V. Digalakis;J.R. Rohlicek;M. Ostendorf

  • A general framework for information extraction using dynamic span graphs

    Yi Luan;Dave Wadden;Luheng He;Amy Shah

  • A stochastic segment model for phoneme-based continuous speech recognition

    M. Ostendorf;S. Roukos

  • A machine learning approach to reading level assessment

    Sarah E. Petersen;Mari Ostendorf

  • The challenge of spoken language systems: Research directions for the nineties

    R. Cole;L. Hirschman;L. Atlas;M. Beckman

  • HMM topology design using maximum likelihood successive state splitting

    Mari Ostendorf;Harald Singer

  • Text simplification for language learners: a corpus analysis.

    Sarah E. Petersen;Mari Ostendorf

  • Modeling long distance dependence in language: topic mixtures versus dynamic cache models

    R.M. Iyer;M. Ostendorf

  • Joint prosody prediction and unit selection for concatenative speech synthesis

    I. Bulyko;M. Ostendorf

  • Modeling long distance dependence in language: topic mixtures vs. dynamic cache models

    R. Iyer;M. Ostendorf

  • Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics

    Mari Ostendorf;Michael Collins;Shri Narayanan;Douglas W. Oard

  • The use of prosody in syntactic disambiguation

    Patti Price;Mari Ostendorf;Stefanie Shattuck-Hufnagel;Cynthia Fong

Frequent Co-Authors

Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Elizabeth Shriberg
Elizabeth Shriberg International Computer Science Institute
Yang Liu
Yang Liu Nanyang Technological University
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Li Deng
Li Deng Citadel
Michiel Bacchiani
Michiel Bacchiani Google (United States)
Lihong Li
Lihong Li Amazon (United States)
Les Atlas
Les Atlas University of Washington

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring related online degrees can broaden your opportunities in the tech field or provide new directions if you're considering a change. Many students compare the cost of criminal justice degree programs online to gauge affordability and future earning potential, especially for those interested in law enforcement technology or cybercrime.

If you have an interest in business and data, checking the accounting degree online cost can prove beneficial. Accounting and computer science overlap in areas like data analytics, so combining these paths can enhance your employability.

For those drawn to big data, pursuing the cheapest masters in data science is a smart way to build advanced analytical skills without breaking the bank. These programs are ideal for aspiring data scientists and AI specialists.

Finally, if you're considering leadership roles in the construction sector, the best 2 year construction management degree online programs offer a fast track to project management positions, which increasingly require digital and tech-savvy professionals.

Best Scientists Citing Mari Ostendorf

Trending Scientists

Recently Published Articles