Integrating Knowledge for Subjectivity Sense Labeling

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This paper discusses integrating knowledge for subjectivity sense labeling.

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9 p.

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Gyamfi, Yaw; Wiebe, Janyce M.; Mihalcea, Rada, 1974- & Akkaya, Cem May 2009.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 64 times , with 6 in the last month . More information about this paper can be viewed below.

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UNT College of Engineering

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This paper discusses integrating knowledge for subjectivity sense labeling.

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9 p.

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Abstract: This paper introduces an integrative approach to automatic word sense subjectivity annotation. We use features that exploit the hierarchical structure and domain information in lexical resources such as WordNet, as well as other types of features that measure the similarity of glosses and the overlap among sets of semantically related words. Integrated in a machine learning framework, the entire set of features is found to give better results than any individual type of feature.

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  • Association for Computational Linguistics. North American Chapter (NAACL) Conference, 2009, Boulder, Colorado, United States

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UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community.** Access to some items in this collection may be restricted.**

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  • May 2009

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:06 p.m.

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Citations, Rights, Re-Use

Gyamfi, Yaw; Wiebe, Janyce M.; Mihalcea, Rada, 1974- & Akkaya, Cem. Integrating Knowledge for Subjectivity Sense Labeling, paper, May 2009; (digital.library.unt.edu/ark:/67531/metadc31013/: accessed March 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.