  This paper presents an application of the LayoutLMv3 model for semantic table
detection on financial documents from the IIIT-AR-13K dataset. The motivation
behind this paper's experiment was that LayoutLMv3's official paper had no
results for table detection using semantic information. We concluded that our
approach did not improve the model's table detection capabilities, for which we
can give several possible reasons. Either the model's weights were unsuitable
for our purpose, or we needed to invest more time in optimising the model's
hyperparameters. It is also possible that semantic information does not improve
a model's table detection accuracy.
