Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Is getting the right answer just about choosing the right words? The
  role of syntactically-informed features in short answer scoring   Developments in the educational landscape have spurred greater interest in
the problem of automatically scoring short answer questions. A recent shared
task on this topic revealed a fundamental divide in the modeling approaches
that have been applied to this problem, with the best-performing systems split
between those that employ a knowledge engineering approach and those that
almost solely leverage lexical information (as opposed to higher-level
syntactic information) in assigning a score to a given response. This paper
aims to introduce the NLP community to the largest corpus currently available
for short-answer scoring, provide an overview of methods used in the shared
task using this data, and explore the extent to which more
syntactically-informed features can contribute to the short answer scoring task
in a way that avoids the question-specific manual effort of the knowledge
engineering approach.

24
The categories of this paper are: dg-ga
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
11
The categories of this paper are: hep-lat
10
The categories of this paper are: q-bio
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int
33
The categories of this paper are: plasm-ph
19
The categories of this paper are: eess