论文标题
Layoutlmv3的语义表检测
Semantic Table Detection with LayoutLMv3
论文作者
论文摘要
本文介绍了Layoutlmv3模型的应用程序，以在IIIT-AR-13K数据集中的财务文档上进行语义表检测。本文实验背后的动机是，Layoutlmv3的官方论文没有使用语义信息进行表检测结果。我们得出的结论是，我们的方法没有提高模型的表检测功能，我们可以给出几个可能的原因。模型的权重要么不适合我们的目的，要么我们需要花费更多时间来优化模型的超参数。语义信息也可能不会提高模型的表检测准确性。
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.
