Theory of Syntactic Recognition for Natural Languages
Theory of Syntactic Recognition for Natural Languages
PRODUCING EXPLANATIONS AND JUSTIFICATIONS OF EXPERT CONSULTING PROGRAMS
PRODUCING EXPLANATIONS AND JUSTIFICATIONS OF EXPERT CONSULTING PROGRAMS
The epistemology of a rule-based expert system: a framework for explanation
The epistemology of a rule-based expert system: a framework for explanation
Planning natural language utterances to satisfy multiple goals
Planning natural language utterances to satisfy multiple goals
Computer generation of multiparagraph English text
Computational Linguistics
Language production: the source of the dictionary
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Natural language generation from plans
Computational Linguistics
A knowledge representation approach to understanding metaphors
Computational Linguistics
Telegram: a grammar formalism for language planning
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
A functional approach to generation with TAG
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Pragmatic considerations in man-machine discourse
COLING '86 Proceedings of the 11th coference on Computational linguistics
Generating a coherent text describing a traffic scene
COLING '86 Proceedings of the 11th coference on Computational linguistics
Incremental generation of spatial referring expressions in situated dialog
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Telegram: a grammar formalism for language planning
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
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We argue that in domains where a strong notion of salience can be defined, it can be used to provide: (1) an elegant solution to the selection problem, i.e. the problem of how to decide whether a given fact should or should not be mentioned in the text; and (2) a simple and direct control framework for the entire deep generation process, coordinating proposing, planning, and realization. (Deep generation involves reasoning about conceptual and rhetorical facts, as opposed to the narrowly linguistic reasoning that takes place during realization.) We report on an empirical study of salience in pictures of natural scenes, and its use in a computer program that generates descriptive paragraphs comparable to those produced by people.