An implementation of a flexible author-reviewer model of generation using genetic algorithms

Ruli Manurung; Graeme Ritchie; Henry Thompson

An implementation of a flexible author-reviewer model of generation using genetic algorithms

Ruli Manurung, Graeme Ritchie, Henry Thompson

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

This paper proposes performing natural language generation using genetic algorithms to address two issues: the difficulty in controlling global textual features which arise from a large number of interdependent local decisions, and the difficulty in applying conventional NLG wisdom in domains where the communicative goal lacks sufficient detail. It presents details of an implemented system that embodies the aforementioned proposal, and discusses the results of an empirical study conducted using the system.

Original language	English
Pages	272-281
Number of pages	10
Publication status	Published - 1 Dec 2008
Event	22nd Pacific Asia Conference on Language, Information and Computation, PACLIC 22 - Cebu, Philippines Duration: 20 Nov 2008 → 22 Nov 2008

Conference

Conference	22nd Pacific Asia Conference on Language, Information and Computation, PACLIC 22
Country/Territory	Philippines
City	Cebu
Period	20/11/08 → 22/11/08

Keywords

Creative language
Genetic algorithms
Natural language generation
Poetry

Cite this

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N2 - This paper proposes performing natural language generation using genetic algorithms to address two issues: the difficulty in controlling global textual features which arise from a large number of interdependent local decisions, and the difficulty in applying conventional NLG wisdom in domains where the communicative goal lacks sufficient detail. It presents details of an implemented system that embodies the aforementioned proposal, and discusses the results of an empirical study conducted using the system.

AB - This paper proposes performing natural language generation using genetic algorithms to address two issues: the difficulty in controlling global textual features which arise from a large number of interdependent local decisions, and the difficulty in applying conventional NLG wisdom in domains where the communicative goal lacks sufficient detail. It presents details of an implemented system that embodies the aforementioned proposal, and discusses the results of an empirical study conducted using the system.

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KW - Natural language generation

KW - Poetry

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ER -

An implementation of a flexible author-reviewer model of generation using genetic algorithms

Abstract

Conference

Keywords

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