Automated Use of Syntactic Structures to Access Semantic Relationships


Some linguistic structures occur frequently and regularly to express predetermined semantic relationships. By systematic manipulation of these structures, it is possible to make a connection between meaning and form in certain contexts using a finite and small number of structures. This project deals with syntactic structures that express the similarity relationships. A model to automatically identify and retrieve similarity relationships in textual documents has been developed and formalized. The model also discovers new syntactic structures through a learning process. The model can be expanded to include other semantic relationships. The two main motivations of the project are automating a language processing task which can be used for automated semantic annotation of documents, and formalizing a set of cognitive mechanisms in language representation.

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