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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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Annotations that Effectively Contribute to Semantic Interpretationesults of compositional semantic analysis, with the effect of removing some of the underspecification in a compositional interpretation, or narrowing the interpretation down to one that is appropriate in a given context.
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Games and Statistical Decisions, the RTE-2 challenge for evaluation. In addition, we provide an evaluation of the semantic role labeling produced by the system taking the Frame-Annotated Corpus for Textual Entailment as a gold standard.
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Stochastic Differential Equations full use of VerbNet’s extensive syntactic and semantic information. We describe our VerbNet classifier, which uses rich syntactic and semantic features to label verb instances with their appropriate VerbNet class. It achieves an accuracy of 88.67 % with multiclass verbs, which is a 49 % error reduction over the most frequent class baseline.
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