The (Non)Utility of Predicate-Argument Frequencies for Pronoun Interpretation

State-of-the-art pronoun interpretation systems rely predominantly on morphosyntactic contextual features. While the use of deep knowledge and inference to improve these models would appear technically infeasible, previous work has suggested that predicate-argument statistics mined from naturally-occurring data could provide a useful approximation to such knowledge. We test this idea in several system configurations, and conclude from our results and subsequent error analysis that such statistics offer little or no predictive information above that provided by morphosyntax.

• Type: Conference
• Year: 2004
• Where: NAACL
• Authors: Andrew Kehler, Douglas E. Appelt, Lara Taylor, Aleksandr Simma
• Keywords: Morphosyntactic Contextual Features, NAACL 2004, NAACL 2007, State-of-the-art Pronoun Interpretation, Subsequent Error Analysis