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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Representing Semantic Graphs in a Self-Organizing Map
verfasst von : Marshall R. Mayberry, Risto Miikkulainen
Erschienen in: Advances in Self-Organizing Maps
Verlag: Springer Berlin Heidelberg
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A long-standing problem in the field of connectionist language processing has been how to represent detailed linguistic structure. Approaches have ranged from the encoding of syntactic trees in
Raam
to the use of a mechanism to query meanings in a “gestalt layer”. In this article, a technique called semantic self-organization is presented that allows for the optimal allocation and explicit representation of semantic dependency graphs on a
Som
-based grid. This technique has been successfully used in a connectionist natural language processing architecture called
InSomNet
to scale up the subsymbolic approach to represent sentences in the
LinGO
Redwoods HPSG Treebank drawn from the VerbMobil Project and annotated with rich semantic information.
InSomNet
was also shown to retain the cognitively plausible behavior detailed in psycholinguistics research. Consequently, semantic self-organization holds considerable promise as a basis for real-world natural language understanding systems that mimic human linguistic performance.