Capturing Term Dependencies using a Sentence Tree based Language Model

Capturing Term Dependencies using a Sentence Tree based Language Model (2002)

by Ramesh Nallapati , James Allan

Citations:

9 - 2 self

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Capturing Term Dependencies using a Sentence Tree based Language Model	SVM HeaderParse 0.1
AUTHOR NAME	Ramesh Nallapati	user correction - Legacy Corrections
AUTHOR NAME	James Allan	user correction - Legacy Corrections
ABSTRACT	We describe a new probabilistic Sentence Tree Language Modeling approach that captures term dependency patterns in Topic Detection and Tracking's (TDT) Story Link Detection task. New features of the approach include modeling the syntactic structure of sentences in documents by a sentence-bin approach and a computationally efficient algorithm for capturing the most significant sentence level term dependencies using a Maximum Spanning Tree approach, similar to Van Rijsbergen's modeling of document-level term dependencies.	user correction - Legacy Corrections
YEAR	2002	user correction - Legacy Corrections
CITATIONS	20 found	ParsCit 1.0