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The Cornell Natural Language Processing Group is a diverse team of researchers interested in computational models of human language and machine learning. We apply a computational lens to a broad set of projects in the areas of linguistic analysis, natural language understanding systems, social science, and humanities. We are a cross-campus group located both in Ithaca and the new Tech campus in NYC. The group includes members from the departments of Computer Science, Information Science, and Linguistics.

A small sampling of problems we are interested in are (in alphabetical order): argumentation mining, grounded language learning, information and opinion extraction, lexicon and grammar induction, paraphrase acquisition, situated language understanding, syntactic parsing, question-answering, semantic parsing, sentiment analysis, similarity-based methods, and text summarization.

buibui加速器服务- tiktok加速器永久免费版

  • Computational Linguistics Lab
  • Machine Learning
  • Artificial Intelligence
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  • Information Science department
  • Linguistics Department
  • Psychology Department
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Sasha Rush and colleagues from Harvard win best paper award at DAC for work on algorithm-hardware co-design of adaptive floating-point encodings for deep learning ssr安卓最新版下载

Ashudeep Singh, Jessica Hong, Thorsten Joachims, and Marco Morik (TU Berlin) win best paper award at SIGIR for work on controlling fairness and bias in ranking [July 2024]

Sasha Rush gets honorable mention for demo paper in ACL 2024 for the Torch-Struct deep structured prediction library ssr小工具官网安卓版

Lillian Lee receives a named chair as the Charles Roy Davis Professor [May 2024]

Sasha Rush, as general chair, and collaborators moved ICLR 2024 online, doubling the number of attendees on the way! 👏 [May 2024]

Alane Suhr wins a 2024 Facebook PhD Fellowship [January 2024]

New York Times article covers both Cheng, Bernstein, Danescu-Niculescu-Mizil, and Leskovec 2017 and Tan, Niculae, Danescu-Niculescu-Mizil, and Lee 2016. Chenhao Tan quoted in the article. [December 2024]

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