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个人简介
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, 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).
More generally, 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).
研究兴趣
论文共 123 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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David Wadden, Kejian Shi,Jacob Morrison,Aakanksha Naik, Shruti Singh, Nitzan Barzilay,Kyle Lo,Tom Hope,Luca Soldaini, Shannon Zejiang Shen,Doug Downey,Hannaneh Hajishirzi,
arxiv(2024)
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PROCEEDINGS OF THE 61ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2023): LONG PAPERS, VOL 1pp.9614-9630, (2023)
CoRR (2023): 3089-3101
17TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, EACL 2023 (2023): 1933-1953
CoRR (2023): 5548-5566
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