Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CS-NET at SemEval-2020 Task 4: Siamese BERT for ComVE   In this paper, we describe our system for Task 4 of SemEval 2020, which
involves differentiating between natural language statements that confirm to
common sense and those that do not. The organizers propose three subtasks -
first, selecting between two sentences, the one which is against common sense.
Second, identifying the most crucial reason why a statement does not make
sense. Third, generating novel reasons for explaining the against common sense
statement. Out of the three subtasks, this paper reports the system description
of subtask A and subtask B. This paper proposes a model based on transformer
neural network architecture for addressing the subtasks. The novelty in work
lies in the architecture design, which handles the logical implication of
contradicting statements and simultaneous information extraction from both
sentences. We use a parallel instance of transformers, which is responsible for
a boost in the performance. We achieved an accuracy of 94.8% in subtask A and
89% in subtask B on the test set.

10
The categories of this paper are: q-bio
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
11
The categories of this paper are: hep-lat
16
The categories of this paper are: stat