Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Pragmatic Issue-Sensitive Image Captioning   Image captioning systems have recently improved dramatically, but they still
tend to produce captions that are insensitive to the communicative goals that
captions should meet. To address this, we propose Issue-Sensitive Image
Captioning (ISIC). In ISIC, a captioning system is given a target image and an
issue, which is a set of images partitioned in a way that specifies what
information is relevant. The goal of the captioner is to produce a caption that
resolves this issue. To model this task, we use an extension of the Rational
Speech Acts model of pragmatic language use. Our extension is built on top of
state-of-the-art pretrained neural image captioners and explicitly reasons
about issues in our sense. We establish experimentally that these models
generate captions that are both highly descriptive and issue-sensitive, and we
show how ISIC can complement and enrich the related task of Visual Question
Answering.

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The categories of this paper are: patt-sol
7
The categories of this paper are: hep-th
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
20
The categories of this paper are: acc-phys
4
The categories of this paper are: cond-mat
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The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
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The categories of this paper are: eess
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio
6
The categories of this paper are: astro-ph