Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hone as You Read: A Practical Type of Interactive Summarization   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. Building off of recent
advances in unsupervised summarization evaluation, we propose a suitable metric
for this task and use it to evaluate a variety of approaches. Our approaches
range from simple heuristics to preference-learning and their analysis provides
insight into this important task. Human evaluation additionally supports the
practicality of HARE. The code to reproduce this work is available at
https://github.com/tannerbohn/HoneAsYouRead.

14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
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The categories of this paper are: acc-phys
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
10
The categories of this paper are: q-bio
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The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
9
The categories of this paper are: nlin