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 keywords
- Artificial intelligence
- Machine learning
- Natural language processing
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Collaborations and top research areas from the last five years
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RI: Small: Extracting and Representing Commonsense Knowledge Using Language Models
Downey, D. C. (PD/PI), Downey, D. C. (PD/PI), Birnbaum, L. A. (Co-PD/PI) & Birnbaum, L. A. (Co-PD/PI)
10/1/20 → 9/30/25
Project: Research project
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AitF:Mechanism Design and Machine Learning for Peer Grading
Hartline, J. D. (PD/PI), Downey, D. C. (Co-PD/PI) & O'Rourke, E. (Co-PD/PI)
9/1/17 → 8/31/22
Project: Research project
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Parsing Scientific Metadata with Neural Networks
Downey, D. C. (PD/PI)
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
Downey, D. C. (PD/PI)
Allen Institute for Artificial Intelligence
1/1/16 → 9/30/17
Project: Research project
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NRT-DESE: Training in Data-Driven Discovery - From the Earth and the Universe to the Successful Careers of the Future
Kalogera, V. (PD/PI), Katsaggelos, A. K. (Co-PD/PI), Klabjan, D. (Co-PD/PI), van der Lee, S. (Co-PD/PI), Downey, D. C. (Other), Luijten, E. (Other) & Schmitt, M. (Other)
4/1/15 → 8/31/21
Project: Research project
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CARE: Extracting Experimental Findings From Clinical Literature
Naik, A., Kuehl, B., Bransom, E., Downey, D. & Hope, T., 2024, Findings of the Association for Computational Linguistics: NAACL 2024 - Findings. Duh, K., Gomez, H. & Bethard, S. (eds.). Association for Computational Linguistics (ACL), p. 4580-4596 17 p. (Findings of the Association for Computational Linguistics: NAACL 2024 - Findings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
TOPICAL: TOPIC Pages AutomagicaLly
Giorgi, J., Singh, A., Downey, D., Feldman, S. & Wang, L. L., 2024, p. 1-11. 11 p.Research output: Contribution to conference › Paper › peer-review
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A Computational Inflection for Scientific Discovery
Hope, T., Downey, D., Weld, D. S., Etzioni, O. & Horvitz, E., Jul 25 2023, In: Communications of the ACM. 66, 8, p. 62-73 12 p.Research output: Contribution to journal › Article › peer-review
8 Scopus citations -
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents
Chen, C., Shen, Z., Klein, D., Stanovsky, G., Downey, D. & Lo, K., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 13345-13360 16 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies
Cattan, A., Hope, T., Downey, D., Bar-Haim, R., Eden, L., Kantor, Y. & Dagan, I., 2023, p. 403-412. 10 p.Research output: Contribution to conference › Paper › peer-review