Conversational Question Answering (CQA) is a challenging task that aims to
generate natural answers for conversational flow questions. In this paper, we
propose a pluggable approach for extractive methods that introduces a novel
prompt-guided copy mechanism to improve the fluency and appropriateness of the
extracted answers. Our approach uses prompts to link questions to answers and
employs attention to guide the copy mechanism to verify the naturalness of
extracted answers, making necessary edits to ensure that the answers are fluent
and appropriate. The three prompts, including a question-rationale relationship
prompt, a question description prompt, and a conversation history prompt,
enhance the copy mechanism's performance. Our experiments demonstrate that this
approach effectively promotes the generation of natural answers and achieves
good results in the CoQA challenge.

在本文中，我们提出了一种可插拔的抽取方法，引入了一种新的提示引导复制机制，以提高提取回答的流畅性和适切性。我们的方法使用提示来链接问题和答案，并利用注意力来指导复制机制，验证提取回答的自然性并进行必要的编辑，以确保回答流畅且适切。三个提示包括问题 - 理由关系提示、问题描述提示和对话历史提示，增强了复制机制的性能。我们的实验证明这种方法有效促进了自然回答的生成，并在 CoQA 挑战中取得了良好的结果。