Ellen Voorhees

Ellen Marie Voorhees (born March 13, 1958)[1] is an American computer scientist known for her work in document retrieval, information retrieval, and natural language processing. She works in the retrieval group at the National Institute of Standards and Technology (NIST).[2]

Education and career

Voorhees was born in Bensalem Township, Pennsylvania, and was the 1976 valedictorian at Bensalem High School.[1] She did her undergraduate studies at Pennsylvania State University,[3] graduating in 1979 with a bachelor's degree in computer science.[1] She went to Cornell University for graduate school, earning a master's degree[3] and completing her Ph.D. in 1985. Her dissertation, The Effectiveness and Efficiency of Agglomerative Hierarchic Clustering in Document Retrieval, was supervised by Gerard Salton.[1]

She worked as a researcher for Siemens before joining NIST.[3]

Recognition

Voorhees was elected as an ACM Fellow in 2018 for "contributions in evaluation of information retrieval, question answering, and other language technologies".[4]

gollark: This isn't really better than an "options" struct with a bunch of defaults.
gollark: The function way also does not have a possible inconsistent state (in its external API).
gollark: What if you `.build()` twice?
gollark: Which I think is a better API.
gollark: A lot of things will just let you create a "listener" with a callback.

References
  1. Voorhees, Ellen M. (1985), The Effectiveness and Efficiency of Agglomerative Hierarchic Clustering in Document Retrieval, Cornell University – via eCommons: Cornell's digital repository
  2. Ellen M. Voorhees, National Institute of Standards and Technology, retrieved 2018-12-06
  3. "Dr. Ellen M. Voorheas", ACM Distinguished Speakers, Association for Computing Machinery, retrieved 2018-12-06
  4. 2018 ACM Fellows Honored for Pivotal Achievements that Underpin the Digital Age, Association for Computing Machinery, December 5, 2018
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