Paper: Independence Assumptions Considered Harmful

ACL ID P97-1024
Title Independence Assumptions Considered Harmful
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1997
Authors

Many current approaches to statistical lan- guage modeling rely on independence a.~- sumptions 1)etween the different explana- tory variables. This results in models which are computationally simple, but which only model the main effects of the explanatory variables oil the response vari- able. This paper presents an argmnent in favor of a statistical approach that also models the interactions between the ex- planatory variables. The argument rests on empirical evidence from two series of ex- periments concerning automatic ambiguity resolution.