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Automatic theory generation from analyst text files using coherence networks
Abstract This paper describes a three-phase processThis paper describes a three-phase process of extracting knowledge from analyst textual reports. Phase 1 involves performing natural language processing on the source text to extract subject-predicate-object triples. In phase 2, these triples are then fed into a coherence network analysis process, using a genetic algorithm optimization. Finally, the highest-value sub networks are processed into a semantic network graph for display. Initial work on a well- known data set (a Wikipedia article on Abraham Lincoln) has shown excellent results without any specific tuning. Next, we ran the process on the SYNthetic Counter-INsurgency (SYNCOIN) data set, developed at Penn State, yielding interesting and potentially useful results.nteresting and potentially useful results.
Abstractsub This paper describes a three-phase processThis paper describes a three-phase process of extracting knowledge from analyst textual reports. Phase 1 involves performing natural language processing on the source text to extract subject-predicate-object triples. In phase 2, these triples are then fed into a coherence network analysis process, using a genetic algorithm optimization. Finally, the highest-value sub networks are processed into a semantic network graph for display. Initial work on a well- known data set (a Wikipedia article on Abraham Lincoln) has shown excellent results without any specific tuning. Next, we ran the process on the SYNthetic Counter-INsurgency (SYNCOIN) data set, developed at Penn State, yielding interesting and potentially useful results.nteresting and potentially useful results.
Bibtextype inproceedings  +
Doi 10.1117/12.2049528  +
Has author Shaffer S.C. +
Has extra keyword Coherent light + , Genetic algorithms + , Coherence networks + , Genetic-algorithm optimizations + , NAtural language processing + , Natural languages + , Semantic network + , SYNCOIN + , Text analysis + , Wikipedia articles + , Natural language processing systems +
Has keyword Coherence + , Natural language + , SYNCOIN + , Text analysis +
Isbn 9781628410594  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in Proceedings of SPIE - The International Society for Optical Engineering +
Title Automatic theory generation from analyst text files using coherence networks +
Type conference paper  +
Volume 9122  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 18:39:38  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 18:39:38  +
DateThis property is a special property in this wiki. 2014  +
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