Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Annotation and Classification of Sentence-level Revision Improvement   Studies of writing revisions rarely focus on revision quality. To address
this issue, we introduce a corpus of between-draft revisions of student
argumentative essays, annotated as to whether each revision improves essay
quality. We demonstrate a potential usage of our annotations by developing a
machine learning model to predict revision improvement. With the goal of
expanding training data, we also extract revisions from a dataset edited by
expert proofreaders. Our results indicate that blending expert and non-expert
revisions increases model performance, with expert data particularly important
for predicting low-quality revisions.

5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
30
The categories of this paper are: q-alg
29
The categories of this paper are: funct-an
13
The categories of this paper are: quant-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci