Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Underreporting of errors in NLG output, and what to do about it   We observe a severe under-reporting of the different kinds of errors that
Natural Language Generation systems make. This is a problem, because mistakes
are an important indicator of where systems should still be improved. If
authors only report overall performance metrics, the research community is left
in the dark about the specific weaknesses that are exhibited by
`state-of-the-art' research. Next to quantifying the extent of error
under-reporting, this position paper provides recommendations for error
identification, analysis and reporting.

30
The categories of this paper are: q-alg
34
The categories of this paper are: chem-ph
14
The categories of this paper are: math-ph
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
21
The categories of this paper are: adap-org
17
The categories of this paper are: q-fin
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
23
The categories of this paper are: solv-int
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex