Stochastic Language Generation in Dialogue using Factored Language Models
نویسندگان
چکیده
منابع مشابه
Stochastic Language Generation in Dialogue using Factored Language Models
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of pre-generated utterances, or (b) using statistics to determine the generation decisions of an existing generator. Both approaches rely on the existence of a handcrafted generation component, which is likely to limit their scalability to new domains. The first contribu...
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Statistical language models based on n-gram counts have been shown to successfully replace grammar rules in standard 2-stage (or ‘generate-and-select’) Natural Language Generation (NLG). In highlyinflected languages, however, the amount of training data required to cope with n-gram sparseness may be simply unobtainable, and the benefits of a statistical approach become less obvious. In this wor...
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The two current approaches to language generation, template-based and rule-based (linguistic) NLG, have limitations when applied to spoken dialogue systems, in part because they were developed for text generation. In this paper, we propose a new corpus-based approach to natural language generation, specifically designed for spoken dialogue systems.
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ژورنال
عنوان ژورنال: Computational Linguistics
سال: 2014
ISSN: 0891-2017,1530-9312
DOI: 10.1162/coli_a_00199