Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: EASE: Extractive-Abstractive Summarization with Explanations   Current abstractive summarization systems outperform their extractive
counterparts, but their widespread adoption is inhibited by the inherent lack
of interpretability. To achieve the best of both worlds, we propose EASE, an
extractive-abstractive framework for evidence-based text generation and apply
it to document summarization. We present an explainable summarization system
based on the Information Bottleneck principle that is jointly trained for
extraction and abstraction in an end-to-end fashion. Inspired by previous
research that humans use a two-stage framework to summarize long documents
(Jing and McKeown, 2000), our framework first extracts a pre-defined amount of
evidence spans as explanations and then generates a summary using only the
evidence. Using automatic and human evaluations, we show that explanations from
our framework are more relevant than simple baselines, without substantially
sacrificing the quality of the generated summary.

19
The categories of this paper are: eess
3
The categories of this paper are: physics
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
10
The categories of this paper are: q-bio
13
The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
22
The categories of this paper are: chao-dyn
12
The categories of this paper are: nucl-th