Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Hostile Posts using Relational Graph Convolutional Network   This work is based on the submission to the competition Hindi Constraint
conducted by AAAI@2021 for detection of hostile posts in Hindi on social media
platforms. Here, a model is presented for detection and classification of
hostile posts and further classify into fake, offensive, hate and defamation
using Relational Graph Convolutional Networks. Unlike other existing work, our
approach is focused on using semantic meaning along with contextutal
information for better classification. The results from AAAI@2021 indicates
that the proposed model is performing at par with Google's XLM-RoBERTa on the
given dataset. Our best submission with RGCN achieves an F1 score of 0.97 (7th
Rank) on coarse-grained evaluation and achieved best performance on identifying
fake posts. Among all submissions to the challenge, our classification system
with XLM-Roberta secured 2nd rank on fine-grained classification.

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The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
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The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
28
The categories of this paper are: alg-geom
25
The categories of this paper are: patt-sol
30
The categories of this paper are: q-alg