Simple BERT Models for Relation Extraction and Semantic Role Labeling

Code

• github.com/Impavidity/relogic
  Officialpytorch★ 0
• github.com/cogcomp/srl-english
  pytorch★ 0
• github.com/riccorl/transformer-srl
  pytorch★ 0

Abstract

We present simple BERT-based models for relation extraction and semantic role labeling. In recent years, state-of-the-art performance has been achieved using neural models by incorporating lexical and syntactic features such as part-of-speech tags and dependency trees. In this paper, extensive experiments on datasets for these two tasks show that without using any external features, a simple BERT-based model can achieve state-of-the-art performance. To our knowledge, we are the first to successfully apply BERT in this manner. Our models provide strong baselines for future research.

Tasks

Benchmark Results

Reproductions