SummHelper: Collaborative Human-Computer Summarization.

CoRR(2023)

引用 0|浏览5
暂无评分
摘要
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.
更多
查看译文
关键词
summarization,summhelper,collaborative,human-computer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络