Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ReINTEL Challenge 2020: A Multimodal Ensemble Model for Detecting
  Unreliable Information on Vietnamese SNS   In this paper, we present our methods for unrealiable information
identification task at VLSP 2020 ReINTEL Challenge. The task is to classify a
piece of information into reliable or unreliable category. We propose a novel
multimodal ensemble model which combines two multimodal models to solve the
task. In each multimodal model, we combined feature representations acquired
from three different data types: texts, images, and metadata. Multimodal
features are derived from three neural networks and fused for classification.
Experimental results showed that our proposed multimodal ensemble model
improved against single models in term of ROC AUC score. We obtained 0.9445 AUC
score on the private test of the challenge.

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The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
13
The categories of this paper are: quant-ph
17
The categories of this paper are: q-fin
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
28
The categories of this paper are: alg-geom