Computational Approaches to the Pragmatics Problem
Computational Approaches to the Pragmatics Problem
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DOI：
10.1111/lnc3.12072
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发表时间：
2014-04-01
影响因子：
2.5
通讯作者：
de Ruiter, Jan P.
中科院分区：
文献类型：
--
作者：
Cummins, Chris;de Ruiter, Jan P.
与人类语言的许多方面不同，语用学涉及形式和意义之间系统的多对多映射。这使得编码和解码意义的计算问题特别具有挑战性，无论是对于正常对话中的人类还是对于需要理解用户输入的人工对话系统。这种困难的一个特别突出的例子是言语行为或对话行为类型的识别。在这篇综述中，我们讨论了为什么这是一个问题，为什么它的解决方案是潜在的相关性，我们的人类互动的理解和人工系统的实施。我们研究了一些理论和实践的尝试，已经克服了这个问题，并考虑如何在不久的将来该领域可能会发展。
Unlike many aspects of human language, pragmatics involves a systematic many-to-many mapping between form and meaning. This renders the computational problems of encoding and decoding meaning especially challenging, both for humans in normal conversation and for artificial dialogue systems that need to understand their users' input. A particularly striking example of this difficulty is the recognition of speech act or dialogue act types. In this review, we discuss why this is a problem and why its solution is potentially relevant both for our understanding of human interaction and for the implementation of artificial systems. We examine some of the theoretical and practical attempts that have been made to overcome this problem and consider how the field might develop in the near future.