/DL_EventExtractionPapers

2015年以来基于深度学习方法的事件抽取论文整理

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Based on BaptisteBlouin, I review papers about Deep Learning based Event Extraction, and annotate keywords and Abbreviation of Models. Besides, I categorized the papers as Chinese Event Extraction, Open-domain Event Extraction, Event Data Generation, Cross-lingual Event Extraction, Few-Shot Event Extraction and Zero-Shot Event Extraction, Document-level EE.

Omissions and mistakes may exist in the review. Welcome to exchange and opinions!

BaptisteBlouin 的整理为参考,笔者结合平时自己在研究中的归纳,着重整理了自2015年以来基于深度学习方法的事件抽取与检测论文,并指出了每篇论文的模型简称及核心关键词等;同时又对中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取,类型的任务进行了单独分类的标注。

整理之中或存在疏漏与错误,欢迎大家交流与补充!

2015

2016

2017

2018

2019

2020

  • PAKDD2020: Exploiting the Matching Information in the Support Set for Few Shot Event Classification

  • PAKDD2020: Learning to Select Important Context Words for Event Detection

  • WSDM2020: Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

  • ACL2020: Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

  • ACL2020: Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

  • ACL2020: Cross-media Structured Common Space for Multimedia Event Extraction

  • ACL2020: Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event

  • ACL2020: Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding

  • ACL2020: Improving Event Detection via Open-domain Trigger Knowledge

    • Authors: Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li and Jun Xie
  • ACL2020: A Two-Step Approach for Implicit Event Argument Detection

    • Authors: Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma and Eduard Hovy
  • IJCAI2020: A Unified Model for Financial Event Classification, Detection and Summarization

    • Authors: Quanzhi Li, Qiong Zhang
  • IJCAI2020: F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification

    • Authors: Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou
  • arXiv: Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features

  • arxiv2020: Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

  • arxiv2020: Event Extraction as Definitation Comprehension

  • arxiv2020: Event Detection with Relation-Aware Graph Convolutional Neural Networks

  • arxiv2020: MAVEN: A Massive General Domain Event Detection Dataset

  • arxiv2020: Event Extraction by Answering (Almost) Natural Questions

  • arxiv2020: Extracting COVID-19 Events from Twitter

  • arxiv2020: Improving Event Detection using Contextual Wrod and Sensence embeddings

  • arxiv2020: MAVEN A Massive General Domain Event Detection Dataset

Chinese Event Detection

Open Domain Event Extraction

Doc-Level EE

Data Generation

Multi-lingual

Few-Shot & Zero-Shot

Semi-Supervised