论文标题
超越文本生成：通过连续自动文本摘要的支持作家
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
论文作者
论文摘要
我们提出了一个文本编辑器，以帮助用户计划，结构并反思其写作过程。它使用自动文本摘要提供了不断更新的段落摘要作为边缘注释。摘要级别从全文到选定的（中央）句子，一直到关键字集合。为了了解用户在写作过程中如何与该系统进行交互，我们进行了两项用户研究（n = 4和n = 8），人们在其中写了有关给定主题和文章的分析文章。作为关键发现，这些摘要使用户对他们的写作有了外部视角，并帮助他们修改了草稿的内容和范围。人们进一步使用该工具快速获得文本概述，并制定了整合自动摘要中见解的策略。更广泛地说，这项工作探索并突出了为作家设计AI工具的价值，其自然语言处理（NLP）功能超出了直接文本生成和校正。
We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using automatic text summarization. Summary levels range from full text, to selected (central) sentences, down to a collection of keywords. To understand how users interact with this system during writing, we conducted two user studies (N=4 and N=8) in which people wrote analytic essays about a given topic and article. As a key finding, the summaries gave users an external perspective on their writing and helped them to revise the content and scope of their drafted paragraphs. People further used the tool to quickly gain an overview of the text and developed strategies to integrate insights from the automated summaries. More broadly, this work explores and highlights the value of designing AI tools for writers, with Natural Language Processing (NLP) capabilities that go beyond direct text generation and correction.
