Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Recurrent Inference in Text Editing   In neural text editing, prevalent sequence-to-sequence based approaches
directly map the unedited text either to the edited text or the editing
operations, in which the performance is degraded by the limited source text
encoding and long, varying decoding steps. To address this problem, we propose
a new inference method, Recurrence, that iteratively performs editing actions,
significantly narrowing the problem space. In each iteration, encoding the
partially edited text, Recurrence decodes the latent representation, generates
an action of short, fixed-length, and applies the action to complete a single
edit. For a comprehensive comparison, we introduce three types of text editing
tasks: Arithmetic Operators Restoration (AOR), Arithmetic Equation
Simplification (AES), Arithmetic Equation Correction (AEC). Extensive
experiments on these tasks with varying difficulties demonstrate that
Recurrence achieves improvements over conventional inference methods.

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The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: eess
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The categories of this paper are: nucl-th
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The categories of this paper are: quant-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: q-alg
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The categories of this paper are: alg-geom
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The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
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The categories of this paper are: funct-an
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The categories of this paper are: adap-org