1995 UsingDecisionTreesforConference

• (McCarthy & Lehnert, 1995) ⇒ Joseph F. McCarthy, and Wendy G. Lehnert. (1995). “Using Decision Trees for Conference Resolution.” In: Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2. ISBN:1-55860-363-8

Subject Headings: Classification-based Coreference Resolution System

Cited By

• http://scholar.google.com/scholar?q=%221995%22+Using+Decision+Trees+for+Conference+Resolution
• http://dl.acm.org/citation.cfm?id=1643031.1643036&preflayout=flat#citedby

Quotes

Abstract

This paper describes RESOLVE, a system that uses decision trees to learn how to classify conference phrases in the domain of business joint ventures. An experiment is presented in which the performance of RESOLVE is compared to the performance of a manually engineered set of rules for the same task. The results show that decision trees achieve higher performance than the rules in two of three evaluation metrics developed for the coreference task. In addition to achieving better performance than the rules, RESOLVE provides a framework that facilitates the exploration of the types of knowledge that are useful for solving the conference problem.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1995 UsingDecisionTreesforConference	Wendy G. Lehnert Joseph F. McCarthy			Using Decision Trees for Conference Resolution						1995