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Kathleen F McCoy

Biographic Data

ID6536652
NAMEKathleen F McCoy
GIVEN NAMESKathleen F
FAMILY NAMEMcCoy
SIGNATUREMCCOY K F
AFFILIATIONSUniversity of Delaware
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS6
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2011
H-INDEX1
  • Summarizing Information Graphics Textually

    Open Access•Şeniz Demir, Sandra Carberry et al.•ARTICLE•Computational Linguistics•2011•Cited by: 1•References: 2

    Information graphics (such as bar charts and line graphs) play a vital role in many multimodal documents. The majority of information graphics that appear in popular media are intended to convey a message and the graphic designer uses deliberate communicative signals, such as highlighting certain aspects of the graphic, in order to bring that message out. The graphic, whose communicative goal (intended message) is often not captured by the docume…

  • Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization

    Open Access•H Gregory Silber, Kathleen F McCoy•ARTICLE•Computational Linguistics•2002•Cited by: 5

    While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When the size and quantity of documents available on the Internet and from other sources are considered, the need for a highly efficient tool that produces usable summaries is clear. We present a linear-time algorithm for lexical chain computation. The algorithm mak…

  • Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization

    Open Access•H Gregory Silber, Kathleen F McCoy•ARTICLE•Computational Linguistics•2002•Cited by: 5

    While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When the size and quantity of documents available on the Internet and from other sources are considered, the need for a highly efficient tool that produces usable summaries is clear. We present a linear-time algorithm for lexical chain computation. The algorithm mak…

  • Summarizing Information Graphics Textually

    Open Access•Şeniz Demir, Sandra Carberry et al.•ARTICLE•Computational Linguistics•2011•Cited by: 1•References: 2

    Information graphics (such as bar charts and line graphs) play a vital role in many multimodal documents. The majority of information graphics that appear in popular media are intended to convey a message and the graphic designer uses deliberate communicative signals, such as highlighting certain aspects of the graphic, in order to bring that message out. The graphic, whose communicative goal (intended message) is often not captured by the docume…

  • Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization

    Open Access•H Gregory Silber, Kathleen F McCoy•ARTICLE•Computational Linguistics•2002•Cited by: 5

    While automatic text summarization is an area that has received a great deal of attention in recent research, the problem of efficiency in this task has not been frequently addressed. When the size and quantity of documents available on the Internet and from other sources are considered, the need for a highly efficient tool that produces usable summaries is clear. We present a linear-time algorithm for lexical chain computation. The algorithm mak…

  • Summarizing Information Graphics Textually

    Open Access•Şeniz Demir, Sandra Carberry et al.•ARTICLE•Computational Linguistics•2011•Cited by: 1•References: 2

    Information graphics (such as bar charts and line graphs) play a vital role in many multimodal documents. The majority of information graphics that appear in popular media are intended to convey a message and the graphic designer uses deliberate communicative signals, such as highlighting certain aspects of the graphic, in order to bring that message out. The graphic, whose communicative goal (intended message) is often not captured by the docume…

Artificial Intelligence (2 works) · Computer Science (2 works) · Information retrieval (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Speech and dialogue systems (2 works) · Topic Modeling (2 works) · Algorithm (1 work) · Automatic summarization (1 work) · Bar chart (1 work)

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