论文标题
帮助！需要识别建议的建议
Help! Need Advice on Identifying Advice
论文作者
论文摘要
人类使用语言来完成各种各样的任务 - 要求并提供建议。在在线建议论坛中，建议与非奖励（如情感支持）混合在一起，有时会明确地说明，有时会隐含地陈述。了解建议的语言将使系统能够更好地掌握语言语言学；实际上，识别建议的能力将大大提高在线寻求建议的效率，并在自然语言生成系统中提供建议。 我们从两个Reddit建议论坛（R/AskParents和R/NeedAdvice）中介绍了一个英语数据集，以注释帖子中的句子是否包含建议。我们的分析揭示了咨询话语中丰富的语言现象。我们提出了初步模型，表明，尽管预培训的语言模型能够比基于规则的系统更好地捕获建议，但建议识别具有挑战性，并且我们确定了未来研究的方向。 评论：将在2020年EMNLP上介绍。
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. Comments: To be presented at EMNLP 2020.
