An Algorithm for Open Text Semantic Parsing

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This paper describes an algorithm for open text shallow semantic parsing.

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9 p.

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Shi, Lei & Mihalcea, Rada, 1974- August 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 578 times , with 6 in the last month . More information about this paper can be viewed below.

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Description

This paper describes an algorithm for open text shallow semantic parsing.

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9 p.

Notes

Abstract: This paper describes an algorithm for open text shallow semantic parsing. The algorithm relies on a frame dataset (FrameNet) and a semantic network (WordNet), to identify semantic relations between words in open text, as well as shallow semantic features associated with concepts in the text. Parsing semantic structures allows semantic units and constituents 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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  • ROMAND Workshop on Robust Methods in Analysis of Natural Language Data, 2004, Geneva, Switzerland

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  • August 2004

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • April 28, 2014, 1:40 p.m.

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Shi, Lei & Mihalcea, Rada, 1974-. An Algorithm for Open Text Semantic Parsing, paper, August 2004; (digital.library.unt.edu/ark:/67531/metadc30953/: accessed December 9, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.