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ECIR
1998
Springer

Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction

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Coupled Hierarchical IR and Stochastic Models for Surface Information Extraction
We present in this paper a combination of Machine Learning based Information Retrieval (IR) techniques and stochastic language modelling in a hierarchical system that extracts surface information from text. At the lowest level of this hierarchy, documents and paragraphs are successively routed with IR techniques. At the top level, a stochastic language model extracts the most relevant phrases, and labels the type of information they contain. The approach and preliminary results are demonstrated on a subset of the MUC-6 Scenario Templates task.
Hugo Zaragoza, Patrick Gallinari
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 1998
Where ECIR
Authors Hugo Zaragoza, Patrick Gallinari
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