Grants per year
Personal profile
Research Interests
Ptofessor Downey's research is focused on natural language processing, machine learning, and artificial intelligence, with a particular interest in the automatic construction of useful knowledge bases from Web text. One goal is to develop techniques and prototypes that extend the state of the art in Web search. Another goal is to theoretically investigate and establish a formal basis for techniques that can learn from unstructured text alone, without hand-labeled data.
More generally, Prof. Downey works on ways to utilize human input more effectively in machine learning. Two directions in this effort involve selecting human input carefully (active learning) or utilizing it in concert with unlabeled data (semi-supervised learning).
Education/Academic qualification
Computer Science and Engineering, PhD, University of Washington
… → 2008
Computer Science and Engineering, MS, University of Washington
… → 2004
Computer Science, Minors in Mathematics and Economics, BS/MS, Case Western Reserve University
… → 2000
Research interests
- Artificial intelligence
- Machine learning
- Natural language processing
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Network
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RI: Small: Extracting and Representing Commonsense Knowledge Using Language Models
Downey, D. C. & Birnbaum, L. A.
10/1/20 → 9/30/23
Project: Research project
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AitF:Mechanism Design and Machine Learning for Peer Grading
Hartline, J. D., Downey, D. C. & O'Rourke, E.
9/1/17 → 8/31/22
Project: Research project
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Parsing Scientific Metadata with Neural Networks
Allen Institute for Artificial Intelligence
9/1/17 → 3/31/18
Project: Research project
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Open Named Entity Recognition from Scientific Documents
Allen Institute for Artificial Intelligence
1/1/16 → 9/30/17
Project: Research project
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ABNIRML: Analyzing the Behavior of Neural IR Models
Macavaney, S., Feldman, S., Goharian, N., Downey, D. & Cohan, A., Mar 18 2022, In: Transactions of the Association for Computational Linguistics. 10, p. 224-239 16 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Exploring the Role of Local and Global Explanations in Recommender Systems
Radensky, M., Downey, D., Lo, K., Popovic, Z. & Weld, D. S., Apr 27 2022, CHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 290. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs
Kaur, H., Downey, D., Singh, A., Cheng, E. Y. Y., Weld, D. & Bragg, J., Oct 29 2022, UIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 97. (UIST 2022 - Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Few-Shot Self-Rationalization with Natural Language Prompts
Marasovic, A., Beltagy, I., Downey, D. & Peters, M. E., 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 410-424 15 p. (Findings of the Association for Computational Linguistics: NAACL 2022 - Findings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
Kang, H. B., Kocielnik, R., Head, A., Yang, J., Latzke, M., Kittur, A., Weld, D. S., Downey, D. & Bragg, J., Apr 29 2022, CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 302. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Scopus citations