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institution

Cornell University

United States

164 papers here9.6k citations across 164
fields
  • astro-ph26
  • cond-mat.mes-hall18
  • math.PR13
  • cond-mat.supr-con7
  • cs.CL7
  • cond-mat.mtrl-sci6
  • cond-mat.str-el6
  • cs.AI6
ROR 05bnh6r87OpenAlex

affiliations via OpenAlex

output
20022005
most citedThumbs up? Sentiment Classification using Machine Learning Techniques

2.2k citations

researchers with a paper here
  • Joseph Y. Halpern10
  • P. Brouwer10
  • Lillian Lee2 profiles7
  • R. Durrett2 profiles7
  • C. Henley6
  • Riccardo Pucella2 profiles6
  • A. Sudbø5
  • E. Bodenschatz5
  • Egor Babaev5
  • W. Vlemmings2 profiles5 · h 3
  • E. Babaev4
  • E. Mueller4
collaborating institutions
  • California Institute of TechnologyUS5 papers
  • Norwegian University of Science and TechnologyNO5 papers
  • IIT@MITUS4 papers
  • Leiden UniversityNL4 papers
  • SKA ObservatoryGB4 papers
  • Centre National de la Recherche ScientifiqueFR3 papers
  • Max Planck Institute for Dynamics and Self-OrganizationDE3 papers
  • Max Planck SocietyDE3 papers
  • University of California, BerkeleyUS3 papers
  • University of California San DiegoUS3 papers
  • University of ChicagoUS3 papers
  • CEA Paris-SaclayFR2 papers
Showing 2003 · cs.CLShow all

1 paper · 2 filters

cs.CL2003★ 98 cited

Learning to Paraphrase: An Unsupervised Approach Using Multiple-Sequence Alignment

Regina Barzilay, Lillian Lee

We address the text-to-text generation problem of sentence-level paraphrasing -- a phenomenon distinct from and more difficult than word- or phrase-level paraphrasing. Our approach…

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