来自：深度学习的知识小屋

最近小编在整理一些篇章级别的工作，首先整理了一份篇章级关系抽取 (Doc-RE) 的论文列表，希望可以为大家的学习和研究提供一定的便利！

ps. 感谢 张振宇博士(http://zhenyu.ac.cn/) 在此文完成后给予的订正！

2017

• TACL2017: Cross-sentence n-ary relation extraction with graph LSTMs

• EACL2017: Distant Supervision for Relation Extraction Beyond the Sentence Boundary

2018

• NAACL2018: Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction

2019

• ACL2019: DocRED: A large-scale document-level relation extraction dataset

• ACL2019: Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network

• EMNLP2019: Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

• AAAI2019: Neural relation extraction within and across sentence boundaries

2020

• ACL2020: Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

• EMNLP2020: Double Graph Based Reasoning for Document-level Relation Extraction

• EMNLP2020: Global-to-Local Neural Networks for Document-Level Relation Extraction

• COLING2020: Document-level Relation Extraction with Dual-tier Heterogeneous Graph

• COLING2020: Graph Enhanced Dual Attention Network for Document-Level Relation Extraction

• COLING2020: Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction

• PAKDD2020: HIN: Hierarchical Inference Network for Document-Level Relation Extraction

• Fine-tune Bert for Docred with two-step process paper

• Entity and Evidence Guided Relation Extraction for DocRED

2021

• AAAI2021: Document-Level Relation Extraction with Reconstruction

• AAAI2021: Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling

• AAAI2021: Entity Structure Within and Throughout: Modeling Mention Dependencies for DocumentLevel Relation Extraction

• AAAI2021: Multi-view Inference for Relation Extraction with Uncertain Knowledge

说个正事哈

由于微信平台算法改版，公号内容将不再以时间排序展示，如果大家想第一时间看到我们的推送，强烈建议星标我们和给我们多点点【在看】。星标具体步骤为：

（1）点击页面最上方“深度学习自然语言处理”，进入公众号主页。

（2）点击右上角的小点点，在弹出页面点击“设为星标”，就可以啦。

感谢支持，比心。

投稿或交流学习，备注：昵称-学校（公司）-方向，进入DL&NLP交流群。

方向有很多：机器学习、深度学习，python，情感分析、意见挖掘、句法分析、机器翻译、人机对话、知识图谱、语音识别等。

记得备注呦

推荐两个专辑给大家：

专辑 | 李宏毅人类语言处理2020笔记

专辑 | NLP论文解读

专辑 | 情感分析

整理不易，还望给个在看！