基于预训练模型的关系抽取研究综述

Review of Relation Extraction Based on Pre-training Language Model

近年来随着深度学习技术的不断革新,预训练模型在自然语言处理中的应用也越来越广泛,关系抽取不再是单纯地依赖传统的流水线方法。预训练语言模型的发展已经极大地推动了关系抽取的相关研究,在很多领域已经超越了传统方法。首先简要介绍关系抽取的发展与经典预训练模型;其次总结当下常用的数据集与评测方法,并分析模型在各数据集上的表现;最后探讨关系抽取发展的挑战与未来研究趋势。

In recent years, with the continuous innovation of deep learning technology,the application of pre-training models in natural language processing has become more and more extensive, and relation extraction is no longer purely dependent on the traditional pipeline method. The development of pre-training language models has greatly promoted the related research of relation extraction,and has surpassed traditional methods in many fields. First,this paper briefly introduces the development of relationship extraction and classic pre-training models;secondly, summarizes the current commonly used data sets and evaluation methods, and analyzes the performance of the model on each data set;finally,discusses the development challenges of relationship extraction and future research trends.