Metareasoning and Natural Language Generation

Natural language generation components can utilize metareasoning to output, for hypertext content, hyperlinks or context menu options to argumentation, rationale or explanation detailing the processing and the data utilized while generating specific documents, chapters, sections, paragraphs, sentences, phrases and words.

Natural language generation systems and architecture topics are discussed in: Building Natural Language Generation Systems by Ehud Reiter and Robert Dale and Natural Language Generation from Plans by Chris Mellish and Roger Evans.

Publications pertinent to metaknowledge, metareasoning, metalogic programming and metaprogramming include: A Review of Recent Research in Metareasoning and Metalearning by Michael L. Anderson and Tim Oates, Meta-reasoning: A Survey by Stefania Costantini, Principles of Metareasoning by Stuart Russell and Eric Wefald, On the Meta-logic of Arguments by Michael Wooldridge, Peter McBurney and Simon Parsons, Derivational Analogy: A Theory of Reconstructive Problem Solving and Expertise Acquisition by Jaime G. Carbonell, Extending Case-based Reasoning with Traces by Amélie Cordier, Bruno Mascret and Alain Mille, Using Meta-reasoning to Improve the Performance of Case-based Planning by Manish Mehta, Santiago Ontañón and Ashwin Ram and Rationale in Planning: Causality, Dependencies and Decisions by Stephen T. Polyak and Austin Tate.


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