Paper: Robust VPE Detection Using Automatically Parsed Text

ACL ID P04-2009
Title Robust VPE Detection Using Automatically Parsed Text
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2004
Authors

This paper describes a Verb Phrase El- lipsis (VPE) detection system, built for robustness, accuracy and domain inde- pendence. The system is corpus-based, and uses machine learning techniques on free text that has been automatically parsed. Tested on a mixed corpus com- prising a range of genres, the system achieves a 70% F1-score. This system is designed as the first stage of a complete VPE resolution system that is input free text, detects VPEs, and proceeds to find the antecedents and resolve them.