Open Text Semantic Parsing Using FrameNet and WordNet

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This article discusses open text semantic parsing using FrameNet and WordNet.

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4 p.

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Shi, Lei & Mihalcea, Rada, 1974- May 2004.

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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 195 times . More information about this paper can be viewed below.

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This article discusses open text semantic parsing using FrameNet and WordNet.

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4 p.

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Abstract: This paper describes a rule-based semantic parser that relies on a frame dataset (FrameNet), and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shadow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constitutes to be accessed and processed in a more meaningful way than syntactic parsing, moving the automation of understanding natural language text to a higher level.

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  • Human Language Technology Conference / Association for Computational Linguistics. North American Chapter Annual Meeting (HLT/NAACL), 2004, Boston, Massachusetts, United States

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  • May 2004

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:37 p.m.

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Shi, Lei & Mihalcea, Rada, 1974-. Open Text Semantic Parsing Using FrameNet and WordNet, paper, May 2004; (digital.library.unt.edu/ark:/67531/metadc30959/: accessed August 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.