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.

研究了在线建议论坛中包含建议或非建议性语言的句子，呈现了语言实用性和丰富的语言现象，并实现了基于模型与基于规则的方法来识别建议。