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Emily M. Bender

University of Washington

4 papers hereh-index 3013.7k citations125 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2
affiliations
  • University of Washington
Homepage
same name
  • Emily M. Bender — 2 papers, h 3
  • Emily M. Bender — 1 paper
  • Emily M. Bender — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20022021
most citedData and its (dis)contents: A survey of dataset development and use in machine learning research

61 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2021★ 15 cited

AI and the Everything in the Whole Wide World Benchmark

Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada +2

There is a tendency across different subfields in AI to valorize a small collection of influential benchmarks. These benchmarks operate as stand-ins for a range of anointed common…

cs.LG2020★ 61 cited

Data and its (dis)contents: A survey of dataset development and use in machine learning research

Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender +2

Datasets have played a foundational role in the advancement of machine learning research. They form the basis for the models we design and deploy, as well as our primary medium for…

cs.CL2017

Towards Linguistically Generalizable NLP Systems: A Workshop and Shared Task

Allyson Ettinger, Sudha Rao, Hal Daumé +1

This paper presents a summary of the first Workshop on Building Linguistically Generalizable Natural Language Processing Systems, and the associated Build It Break It, The Language…

cs.CL2002

Efficient Deep Processing of Japanese

Melanie Siegel, Emily M. Bender

We present a broad coverage Japanese grammar written in the HPSG formalism with MRS semantics. The grammar is created for use in real world applications, such that robustness and p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.