Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models

Authors

  • Sudipta Singha Roy The University of Western Ontario
  • Robert E. Mercer The University of Western Ontario

DOI:

https://doi.org/10.32473/flairs.v35i.130660

Abstract

In order to comprehend underlying biological processes, it is necessary to identify interactions between proteins. It is typically quite difficult to extract a protein-protein interaction (PPI) from text data as text data is complex in nature. Unlike sequential models, tree-structured neural network models have the ability to consider syntactic and semantic dependencies between different portions of the text and can provide structural information at the phrase level. This paper investigates tree-structured neural network models for the PPI task and the results show their supremacy over sequential models and their effectiveness for this task.

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Published

04-05-2022

How to Cite

Singha Roy, S., & Mercer, R. E. (2022). Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models. The International FLAIRS Conference Proceedings, 35. https://doi.org/10.32473/flairs.v35i.130660

Issue

Section

Special Track: Neural Networks and Data Mining