scholarly journals Medical Information Extraction Using Natural Language Interpretation

2019 ◽  
Author(s):  
Gunjan Dhole ◽  
Nilesh Uke
Keyword(s):  
Natural Language ◽  
Information Extraction ◽  
Medical Information ◽  
Language Interpretation ◽  
Natural Language Interpretation

Formal Pragmatics

2013 ◽  
Author(s):  
Reinhard K. Blutner
Keyword(s):  
Natural Language ◽  
Argumentation Theory ◽  
Language Interpretation ◽  
Game Theoretic ◽  
Natural Language Interpretation ◽  
Game Theoretic Pragmatics

In this article, three theoretic frameworks are discussed: optimality-theoretic, game-theoretic, and decision-theoretic pragmatics, the last being based on Ducrot’s argumentation theory. The close similarities between optimality-theoretic and game-theoretic pragmatics are pointed out. Concerning decision-theoretic pragmatics, some arguments are provided demonstrating that an independent, argumentation-theoretic grounding is neither needed nor useful. Rather, it seems more appropriate to incorporate the argumentation-theoretic insights into a general Gricean-oriented theory of natural language interpretation, let it be optimality-theoretic pragmatics or a game-theoretic variant.

Introduction

2020 ◽  
pp. 1-4
Author(s):  
Ash Asudeh ◽  
Gianluca Giorgolo
Keyword(s):  
Natural Language ◽  
Cognitive Science ◽  
Category Theory ◽  
Worst Case ◽  
Computational Tools ◽  
Related Literature ◽  
Language Interpretation ◽  
Natural Language Interpretation

This chapter introduces and motivates the book. It introduces monads as a way to model enriched meanings and motivates enriched meanings as a way to avoid generalizing to the worst case in natural language interpretation. It reviews the three goals of the book: 1. to provide background on the theory of enriched meanings and how to model meaning enrichment formally using category theory, in particular monads; 2. to show the usefulness of the theory by providing new compositional analyses of the three phenomena; and 3. to explore the compositional possibilities for combining the three monads used in these analyses. The chapter also discusses the place of this kind of research in cognitive science. It lists some related literature on monads for natural language interpretation. It also introduces the computational tools and exercises.

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