Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Content-Based Quality Estimation for Automatic Subject Indexing of Short
  Texts under Precision and Recall Constraints   Semantic annotations have to satisfy quality constraints to be useful for
digital libraries, which is particularly challenging on large and diverse
datasets. Confidence scores of multi-label classification methods typically
refer only to the relevance of particular subjects, disregarding indicators of
insufficient content representation at the document-level. Therefore, we
propose a novel approach that detects documents rather than concepts where
quality criteria are met. Our approach uses a deep, multi-layered regression
architecture, which comprises a variety of content-based indicators. We
evaluated multiple configurations using text collections from law and
economics, where the available content is restricted to very short texts.
Notably, we demonstrate that the proposed quality estimation technique can
determine subsets of the previously unseen data where considerable gains in
document-level recall can be achieved, while upholding precision at the same
time. Hence, the approach effectively performs a filtering that ensures high
data quality standards in operative information retrieval systems.

12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
2
The categories of this paper are: math
19
The categories of this paper are: eess
4
The categories of this paper are: cond-mat
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg