Current approaches for text summarization are predominantly automatic, with rather limited space for human intervention and control over the process. In this paper, we introduce SummHelper, a 2-phase summarization assistant designed to foster human-machine collaboration. The initial phase involves content selection, where the system recommends potential content, allowing users to accept, modify, or introduce additional selections. The subsequent phase, content consolidation, involves SummHelper generating a coherent summary from these selections, which users can then refine using visual mappings between the summary and the source text. Small-scale user studies reveal the effectiveness of our application, with participants being especially appreciative of the balance between automated guidance and opportunities for personal input.

翻译：当前文本摘要生成方法主要依赖自动化技术，人类干预和对过程的控制空间极为有限。本文提出SummHelper——一种两阶段式摘要生成辅助工具，旨在促进人机协作。第一阶段为内容选择阶段，系统推荐潜在候选内容，用户可接受、修改或引入额外选择。第二阶段为内容整合阶段，SummHelper根据用户所选内容生成连贯摘要，用户可通过摘要与源文本之间的可视化映射关系对摘要进行优化。小规模用户研究表明，该应用效果显著，参与者特别赞赏其在自动化引导与个人输入机会之间取得的平衡。