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Combining multiple, large-scale resources in a reusable lexicon for natural language generation

机译:在可重用的词典中组合多个大规模资源以生成自然语言

摘要

A lexicon is an essential component in a generation system but few efforts have been made to build a rich, large-scale lexicon and make it reusable for different generation applications. In this paper, we describe our work to build such a lexicon by combining multiple, heterogeneous linguistic resources which have been developed for other purposes. Novel transformation and integration of resources is required to reuse them for generation. We also applied the lexicon to the lexical choice and realization component of a practical generation application by using a multi-level feedback architecture. The integration of the lexicon and the architecture is able to effectively improve the system paraphrasing power, minimize the chance of grammatical errors, and simplify the development process substantially.
机译:词典是世代系统中必不可少的组成部分,但是几乎没有做出任何努力来构建功能强大的大型词典,并使其可用于不同的世代应用程序。在本文中,我们描述了通过结合多种为其他目的开发的多种语言资源来构建这样一个词典的工作。需要新颖的资源转换和集成来重新使用它们以进行生成。通过使用多级反馈体系结构,我们还将词典应用于实际生成应用程序的词汇选择和实现组件。词典和体系结构的集成能够有效地提高系统的表述能力,最大程度地减少语法错误的可能性,并大大简化开发过程。

著录项

  • 作者

    McKeown Kathleen; Jing Hongyan;

  • 作者单位
  • 年度 1998
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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