Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Syntactic graphs: a representation for the union of all ambiguous parse trees
Computational Linguistics
An efficient context-free parsing algorithm
Communications of the ACM
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems
Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
The Theory of Parsing, Translation, and Compiling
The Theory of Parsing, Translation, and Compiling
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In this paper, we present a computational method for transforming a syntactic graph, which represents all syntactic interpretations of a sentence, into a semantic graph which filters out certain interpretations, but also incorporates any remaining ambiguities. We argue that the resulting ambiguous graph, supported by an exclusion matrix, is a useful data structure for question answering and other semantic processing. Our research is based on the principle that ambiguity is an inherent aspect of natural language communication.