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. & Birnbaum, L. A.
10/1/20 → 9/30/24
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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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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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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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
1 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
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CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
Chang, J. C., Zhang, A. X., Bragg, J., Head, A., Lo, K., Downey, D. & Weld, D. S., Apr 19 2023, CHI 2023 - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 737. (Conference on Human Factors in Computing Systems - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Embedding Recycling for Language Models
Saad-Falcon, J., Singh, A., Soldaini, L., D’Arcy, M., Cohan, A. & Downey, D., 2023, EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023. Association for Computational Linguistics (ACL), p. 1888-1908 21 p. (EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
Bhagavatula, C., Hwang, J. D., Downey, D., Le Bras, R., Lu, X., Qin, L., Sakaguchi, K., Swayamdipta, S., West, P. & Choi, Y., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 9614-9630 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution