Hone as You Read: A Practical Type of Interactive Summarization

Understand

We present HARE, a new task where reader feedback is used to optimize document summaries for personal interest during the normal flow of reading.

• This task is related to interactive summarization, where personalized summaries are produced following a long feedback stage where users may read the same sentences many times.
• However, this process severely interrupts the flow of reading, making it impractical for leisurely reading.
• We propose to gather minimally-invasive feedback during the reading process to adapt to user interests and augment the document in real-time.