Discovery of manner relations and their applicability to Question Answering

Authors:
Roxana Girju;Manju Putcha;Dan Moldovan
Affiliations:
University of Texas at Dallas;University of Texas at Dallas;University of Texas at Dallas
Venue:
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Year:
2003

Citing 5
Cited 1

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Abstract

The discovery of semantic relations from text becomes increasingly important for applications such as Question Answering, Information Extraction, Summarization, Text Understanding and others. This paper presents a method for the automatic discovery of manner relations using a Naive Bayes learning algorithm. The method was tested on the UPenn Treebank2 corpus, and the targeted manner relations were detected with a precision of 64.44% and a recall of 68.67%.