Making Senses: Bootstrapping Sense-tagged Lists of Semantically-Related Words

Making Senses: Bootstrapping Sense-tagged Lists of Semantically-Related Words (2006)

by Nancy Ide

Venue:	Computational Linguistics and Intelligent Text Processing. Lecture notes in Computer Science 3878
Citations:	6 - 2 self

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Datum	Value	Source
TITLE	Making Senses: Bootstrapping Sense-tagged Lists of Semantically-Related Words	user correction - Legacy Corrections
AUTHOR NAME	Nancy Ide	SVM HeaderParse 0.2
AUTHOR AFFIL	Department of Computer Science, Vassar College, Poughkeepsie	SVM HeaderParse 0.2
AUTHOR ADDR	New York USA	SVM HeaderParse 0.2
ABSTRACT	The work described in this paper was originally motivated by the need to map verbs associated with FrameNet 1.2 frames to appropriate WordNet 2.0 senses. As the work evolved, it became apparent that the developed method was applicable for a number of other tasks, including assignment of WordNet senses to word lists used in attitude and opinion analysis, and collapsing WordNet senses into coarser-grained groupings. We describe the method for mapping FrameNet lexical units to WordNet senses and demonstrate its applicability to these additional tasks. We conclude with a general discussion of the viability of using this method with automatically sense-tagged data.	user correction - Legacy Corrections
YEAR	2006	INFERENCE
VENUE	Computational Linguistics and Intelligent Text Processing. Lecture notes in Computer Science 3878	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	13--27	INFERENCE
CITATIONS	20 found	ParsCit 1.0