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Titlebook: Computing Meaning; Volume 4 Harry Bunt,Johan Bos,Stephen Pulman Book 2014 Springer Science+Business Media Dordrecht 2014 Computational sema

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https://doi.org/10.1007/b106901 Language (GLML), a mark-up language inspired by the Generative Lexicon model, for identifying such relations. While most annotation systems capture surface relationships, GLML captures the “compositional history” of the argument selection relative to the predicate. We provide a brief overview of GL
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Deterministic Statistical Mapping of Sentences to Underspecified Semanticsan underspecified logical form that has properties making it particularly suitable for statistical mapping from text. An encoding of the semantic expressions into dependency trees with automatically generated labels allows application of existing methods for statistical dependency parsing to the map
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