Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Question Answering on Scholarly Knowledge Graphs   Answering questions on scholarly knowledge comprising text and other
artifacts is a vital part of any research life cycle. Querying scholarly
knowledge and retrieving suitable answers is currently hardly possible due to
the following primary reason: machine inactionable, ambiguous and unstructured
content in publications. We present JarvisQA, a BERT based system to answer
questions on tabular views of scholarly knowledge graphs. Such tables can be
found in a variety of shapes in the scholarly literature (e.g., surveys,
comparisons or results). Our system can retrieve direct answers to a variety of
different questions asked on tabular data in articles. Furthermore, we present
a preliminary dataset of related tables and a corresponding set of natural
language questions. This dataset is used as a benchmark for our system and can
be reused by others. Additionally, JarvisQA is evaluated on two datasets
against other baselines and shows an improvement of two to three folds in
performance compared to related methods.

33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
11
The categories of this paper are: hep-lat
13
The categories of this paper are: quant-ph
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th