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Help! Need Advice on Identifying Advice

机译:帮助!需要有关识别建议的建议

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摘要

Humans use language to accomplish a wide variety of tasks - asking for and giving advice being one of them. In online advice forums, advice is mixed in with non-advice, like emotional support, and is sometimes stated explicitly, sometimes implicitly. Understanding the language of advice would equip systems with a better grasp of language pragmatics; practically, the ability to identify advice would drastically increase the efficiency of advice-seeking online, as well as advice-giving in natural language generation systems. We present a dataset in English from two Reddit advice forums - r/AskParents and r/needadvice - annotated for whether sentences in posts contain advice or not. Our analysis reveals rich linguistic phenomena in advice discourse. We present preliminary models showing that while pre-trained language models are able to capture advice better than rule-based systems, advice identification is challenging, and we identify directions for future research.
机译:人类使用语言来实现各种各样的任务 - 要求并给出建议是其中之一。在在线咨询论坛中,建议与非建议相同,如情绪支持,有时明确地说明,有时会隐含地说明。了解建议的语言将以更好的语言掌握语言的语言;实际上,识别建议的能力会大大提高咨询在线的效率,以及在自然语言生成系统中咨询。我们从两个Reddit咨询论坛中介绍了一个用于英语的数据集 - R / Askparents和R / FessureAdvice - 注释帖子是否包含建议。我们的分析揭示了建议话语中丰富的语言现象。我们提出初步模型,显示,虽然预先训练的语言模型能够比基于规则的系统更好地捕获建议,建议识别是具有挑战性的,并且我们确定未来研究的指示。

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