Add text similarity / relevance / syntactic match component based on parse trees
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Key: OPENNLP-253
URL: https://issues.apache.org/jira/browse/OPENNLP-253
Project: OpenNLP
Issue Type: Improvement
Components: Parser
Affects Versions: 1.6.0
Environment: jave
Reporter: Boris Galitsky
Fix For: 1.6.0
Proposed component relies on openNLP parser, and gives search engineers a
simple relevance verification tool which relies on machine learning of
syntactic parse trees.
The value for search engineers community is that they dont have to be familiar
with NLP to use syntactic generalization component, which does parsing/chunking
by openNLP and then graph-based learning for relevance assessment (proposed
component).
One of the expected usage scenario is that a search library like lucene is
used, and this component would accept / reject irrelevant search results
(according to the proposed syntactic generalization measure).
This code has been deployed commercially over last 2 years at datran.com and
zvents.com and is serving > 20 mln users monthly.
There is a number of publications on this project, including
http://portal.acm.org/citation.cfm?id=1881190
http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS11/paper/view/2573
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