Modeling local coherence: An entity-based approach

Modeling local coherence: An entity-based approach (2005)

by Regina Barzilay

Venue:	In Proceedings of ACL 2005
Citations:	70 - 5 self

Datum	Value	Source
TITLE	Modeling local coherence: An entity-based approach	INFERENCE
AUTHOR NAME	Regina Barzilay	SVM HeaderParse 0.2
AUTHOR AFFIL	Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology	SVM HeaderParse 0.2
ABSTRACT	This paper considers the problem of automatic assessment of local coherence. We present a novel entity-based representation of discourse which is inspired by Centering Theory and can be computed automatically from raw text. We view coherence assessment as a ranking learning problem and show that the proposed discourse representation supports the effective learning of a ranking function. Our experiments demonstrate that the induced model achieves significantly higher accuracy than a state-of-the-art coherence model. 1	SVM HeaderParse 0.2
YEAR	2005	INFERENCE
VENUE	In Proceedings of ACL 2005	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	141--148	INFERENCE
CITATIONS	25 found	ParsCit 1.0