Bayesian Natural Language Semantics and Pragmatics

Bayesian Natural Language Semantics and Pragmatics

Schmitz, Hans-Christian; Zeevat, Henk

Springer International Publishing AG

06/2015

246

Dura

Inglês

9783319170633

15 a 20 dias

The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics.
Preface by Henk Zeevat & Hans-Christian Schmitz.- 1. Perspectives on Bayesian Natural Language Semantics and Pragmatics by Henk Zeevat.- 2. Causal Bayesian Networks, Signalling Games and Implicature of More than n' by Anton Benz.- 3. Measurement-Theoretic Foundations of Logic for Better Questions and Answers by Satoru Suzuki.- 4. Conditionals, Conditional Probabilities, and Conditionalization by Stefan Kaufmann.- 5. On the Probabilistic Notion of Causality: Models and Metalanguages by Christian Wurm.- 6. Shannon vs. Chomsky: Brain Potentials and the Syntax-Semantics Distinction by Mathias Winther Madsen.- 7. Orthogonality and Presuppositions. A Bayesian Perspective by Jacques Jayez.- 8. Layered Meanings and Bayesian Argumentation: The Case of Exclusives by Gregoire Winterstein.- 9. Variations on a Bayesian Theme: Comparing Bayesian Models of Referential Reasoning by Ciyang Qing and Michael Franke.- 10. Towards a Probabilistic Semantics for Vague Adjectives by Peter Sutton.
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