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https://issues.apache.org/jira/browse/OPENNLP-566?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Martin Wiesner closed OPENNLP-566.
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Resolution: Not A Problem
Closing this as this is neither a bug, nor a problem.
> Parse thicket is a structure to represent syntactic relations in a paragraph
> ----------------------------------------------------------------------------
>
> Key: OPENNLP-566
> URL: https://issues.apache.org/jira/browse/OPENNLP-566
> Project: OpenNLP
> Issue Type: New Feature
> Components: Similarity
> Reporter: Boris Galitsky
> Assignee: Boris Galitsky
> Priority: Major
> Original Estimate: 120h
> Remaining Estimate: 120h
>
> Per paper
> http://link.springer.com/chapter/10.1007%2F978-3-642-35786-2_12
> Parse Thicket Representation for Multi-sentence Search
> Boris A. Galitsky, Sergei O. Kuznetsov, Daniel Usikov
> Abstract
> We develop a graph representation and learning technique for parse structures
> for sentences and paragraphs of text. This technique is used to improve
> relevance answering complex questions where an answer is included in multiple
> sentences. We introduce Parse Thicket as a sum of syntactic parse trees
> augmented by a number of arcs for inter-sentence word-word relations such as
> coreference and taxonomic. These arcs are also derived from other sources,
> including Rhetoric Structure theory, and respective indexing rules are
> introduced, which identify inter-sentence relations and joins phrases
> connected by these relations in the search index. Generalization of syntactic
> parse trees (as a similarity measure between sentences) is defined as a set
> of maximum common sub-trees for two parse trees. Generalization of a pair of
> parse thickets to measure relevance of a question and an answer, distributed
> in multiple sentences, is defined as a set of maximal common sub-parse
> thickets. The proposed approach is evaluated in the product search domain of
> eBay.com, where user query includes product names, features and expressions
> for user needs, and the query keywords occur in different sentences of text.
> We demonstrate that search relevance is improved by single sentence-level
> generalization, and further increased by parse thicket generalization. The
> proposed approach is evaluated in the product search domain of eBay.com,
> where user query includes product names, features and expressions for user
> needs, and the query keywords occur in different sentences of text.
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