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Mary McGee Wood

Biographic Data

ID5086192
NAMEMary McGee Wood
GIVEN NAMESMary McGee
FAMILY NAMEWood
SIGNATUREWOOD M M
AFFILIATIONSUniversity of Manchester
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS6
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1988
LATEST PUBLICATION YEAR2005
H-INDEX1
  • Evaluating Discourse and Dialogue Coding Schemes

    Open Access•Richard Craggs, Mary McGee Wood•ARTICLE•Computational Linguistics•2005•Cited by: 6•References: 3

    Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and how their results should be interpreted. In this article we describe the role of agreement measures and argue that only chance-corrected measures that assume a common distribution of labels for all coders are suitable for measuring agreement in relia…

  • Signification and simulation

    Open Access•Mary McGee Wood•ARTICLE•Paragraph•1988•References: 1

  • Evaluating Discourse and Dialogue Coding Schemes

    Open Access•Richard Craggs, Mary McGee Wood•ARTICLE•Computational Linguistics•2005•Cited by: 6•References: 3

    Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and how their results should be interpreted. In this article we describe the role of agreement measures and argue that only chance-corrected measures that assume a common distribution of labels for all coders are suitable for measuring agreement in relia…

  • Signification and simulation

    Open Access•Mary McGee Wood•ARTICLE•Paragraph•1988•References: 1

  • Evaluating Discourse and Dialogue Coding Schemes

    Open Access•Richard Craggs, Mary McGee Wood•ARTICLE•Computational Linguistics•2005•Cited by: 6•References: 3

    Agreement statistics play an important role in the evaluation of coding schemes for discourse and dialogue. Unfortunately there is a lack of understanding regarding appropriate agreement measures and how their results should be interpreted. In this article we describe the role of agreement measures and argue that only chance-corrected measures that assume a common distribution of labels for all coders are suitable for measuring agreement in relia…

Computer Science (2 works) · Agreement (1 work) · Art (1 work) · Coding (social sciences (1 work) · Cognitive Science and Education Research (1 work) · Computability, Logic, AI Algorithms (1 work) · Delphi Technique in Research (1 work) · Digital Humanities and Scholarship (1 work) · Econometrics (1 work) · Epistemology (1 work)

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