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Comparing Frame Membership to WN-based Similarity and Distributional Similarity

24 April 2020, Version 1
Presentation
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

The presentation compares FrameNet membership to WordNet-based measures of similarity and suggests a distribution-based method for the automatic induction of lexical units in FrameNet. FrameNet membership correlated with some WN-based similarity measures, despite the gradable versus binary values and the inapplicability of some measures on co-LUs. Patwardhan’s (2003) vector, Resnik’s (1995) IC, Hirst’s and St-Onge’s (1998) lexical chain and Lin’s (1998) IC measures improved the precision of the distributional-based induction of lexical units.

Keywords

FrameNet
WordNet
Distributional Similarity

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Version History

Apr 24, 2020 Version 1

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License

All Rights Reserved

DOI

10.33774/coe-2020-0lh0x
D O I: 10.33774/coe-2020-0lh0x [opens in a new tab]

Author’s competing interest statement

The author(s) have declared they have no conflict of interest with regard to this content

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