Capturing Term Dependencies using a Sentence Tree based Language Model (2002)
by
Ramesh Nallapati
,
James Allan
| Citations: | 9 - 2 self |
BibTeX
@MISC{Nallapati02capturingterm,
author = {Ramesh Nallapati and James Allan},
title = {Capturing Term Dependencies using a Sentence Tree based Language Model},
year = {2002}
}
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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.
