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首页> 外文会议>International workshop on future and emergent trends in language technology >Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres
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Exploring Flexibility in Natural Language Generation Through Discursive Analysis of New Textual Genres

机译：通过对新文本类型的话语分析探索自然语言生成中的灵活性

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Since automatic language generation is a task able to enrich applications rooted in most of the language-related areas, from machine translation to interactive dialogue, it seems worthwhile to undertake a strategy focused on enhancing generation system's adaptability and flexibility. It is our first objective to understand the relation between the factors that contribute to discourse articulation in order to devise the techniques that will generate it. From that point, we want to determine the appropriate methods to automatically learn those factors. The role of genre on this approach remains essential as provider of the stable forms that are required in the discourse to meet certain communicative goals. The arising of new web-based genres and the accessibility of the data due to its digital nature, has prompted us to use reviews in our first attempt to learn the characteristics of their singular non-rigid structure. The process and the preliminary results are explained in the present paper.
机译：由于自动语言生成是一项能够丰富植根于大多数语言相关领域（从机器翻译到交互式对话）的应用程序的任务，因此似乎有必要采取侧重于增强生成系统的适应性和灵活性的策略。我们的第一个目标是了解促成话语清晰度的因素之间的关系，以便设计出会产生这种声音的技巧。从这一点出发，我们想确定适当的方法来自动学习那些因素。体裁在这种方法上的作用仍然是至关重要的，因为它是话语中实现某些交际目标所需的稳定形式的提供者。基于网络的新类型的出现以及由于其数字性质而导致的数据可访问性，促使我们在第一次尝试中使用评论来了解其独特的非刚性结构的特征。本文对过程和初步结果进行了说明。

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