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Kathleen R McKeown

Biographic Data

ID6113678
NAMEKathleen R McKeown
GIVEN NAMESKathleen R
FAMILY NAMEMcKeown
SIGNATUREMCKEOWN K R
AFFILIATIONSColumbia University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1987
LATEST PUBLICATION YEAR2005
H-INDEX0
  • Sentence Fusion for Multidocument News Summarization

    Open Access•Regina Barzilay, Kathleen Mckeown et al.•ARTICLE•Computational Linguistics•2005•References: 4

    A system that can produce informative summaries, highlighting common information found in many online documents, will help Web users to pinpoint information that they need without extensive reading. In this article, we introduce sentence fusion, a novel text-to-text generation technique for synthesizing common information across documents. Sentence fusion involves bottom-up local multisequence alignment to identify phrases conveying similar infor…

  • Learning Methods to Combine Linguistic Indicators

    Open Access•Eric V Siegel, Kathleen Mckeown et al.•ARTICLE•Computational Linguistics•2000

    Aspectual classification maps verbs to a small set of primitive categories in order to reason about time. This classification is necessary for interpreting temporal modifiers and assessing temporal relationships, and is therefore a required component for many natural language applications. A verb's aspectual category can be predicted by co-occurrence frequencies between the verb and certain linguistic modifiers. These frequency measures, called l…

  • Planning English Sentences

    Susanna Cumming, Douglas E Appelt et al.•ARTICLE•Language•1987

No prominent works on this page.

  • Planning English Sentences

    Susanna Cumming, Douglas E Appelt et al.•ARTICLE•Language•1987

  • Learning Methods to Combine Linguistic Indicators

    Open Access•Eric V Siegel, Kathleen Mckeown et al.•ARTICLE•Computational Linguistics•2000

    Aspectual classification maps verbs to a small set of primitive categories in order to reason about time. This classification is necessary for interpreting temporal modifiers and assessing temporal relationships, and is therefore a required component for many natural language applications. A verb's aspectual category can be predicted by co-occurrence frequencies between the verb and certain linguistic modifiers. These frequency measures, called l…

  • Sentence Fusion for Multidocument News Summarization

    Open Access•Regina Barzilay, Kathleen Mckeown et al.•ARTICLE•Computational Linguistics•2005•References: 4

    A system that can produce informative summaries, highlighting common information found in many online documents, will help Web users to pinpoint information that they need without extensive reading. In this article, we introduce sentence fusion, a novel text-to-text generation technique for synthesizing common information across documents. Sentence fusion involves bottom-up local multisequence alignment to identify phrases conveying similar infor…

Artificial Intelligence (3 works) · Computer Science (3 works) · Linguistics (3 works) · Natural language processing (3 works) · Natural Language Processing Techniques (2 works) · Artificial Intelligence (1 work) · Automatic summarization (1 work) · Data Mining Algorithms and Applications (1 work) · Field (mathematics (1 work) · Information retrieval (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae