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The model identifies chemical components and genes named entities and extracts the relations of the chemical-gene pair jointly. It utilizes the BioBERT model in the named entity recognition and the graphs neural networks for the RE subtasks.
This repository contains the official implementation of the paper titled Multimodal weighted graph representation for information extraction from visually rich documents.
Source code for GraphPOPE (Graph Position-aware Preprocessed Embeddings), developed in cooperation with the University of Amsterdam and Socialdatabase Research.