以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、零样本事件抽取等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!
ACL2015: Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
ACL2015: Event Detection and Domain Adaptation with Convolutional Neural Networks
ACL2016: Event Nugget Detection with Forward-Backward Recurrent Neural Networks
ACL2016: RBPB Regularization Based Pattern Balancing Method for Event Extraction
ACL2016: A Language-Independent Neural Network for Event Detection
ACL2016: Leveraging FrameNet to Improve Automatic Event Detection
EMNLP2016: Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
COLING2016:Leveraging Multilingual Training for Limited Resource Event Extraction
NAACL2016: Joint Event Extraction via Recurrent Neural Networks
CCL2016: Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Network
ACL2017: Automatically Labeled Data Generation for Large Scale Event Extraction
ACL2017: Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
IJCNLP2017: Exploiting Document Level Information to Improve Event Detection via Recurrent Neural Networks
AAAI2018: Scale up event extraction learning via automatic training data generation
AAAI2018: Jointly Extraction Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Iteraction
AAAI2018: Graph convolutional networks with argument-aware pooling for event detection
AAAI2018: Event detection via gated multilingual attention mechanism
ACL2018: Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
ACL2018: Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection
ACL2018: Nugget Proposal Networks for Chinese Event Detection
ACL2018: Zero-Shot Transfer Learning for Event Extraction
ACL2018: DCFFE: A Document-level Chinese Financial Event Extraction System based on Automatically Labelled Training Data
Joint Entity and Event Extraction with Generative Adversarial Imitation Learning
EMNLP2018: Event Detection with Neural Networks A Rigorous Empirical Evaluation
EMNLP2018: Exploiting Contextual Information via Dynamic Memory Network for Event Detection
EMNLP2018: Joint Multiple Event Extraction via Attention-based Graph Information Aggregration
EMNLP2018: Similar but not the Same Word Sense Disambiguation Improves Event Detection via Neural Representation Matching
EMNLP2018: Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
NAACL2018: Semi-supervised event extraction with paraphrase clusters
COLING2018: Open-Domain Event Detection using Distant Supervision
AAAI2019: Exploiting the Ground-Truth An Adversarial Imitation Based Knowledge Distiallation Approach for Event Detection
ACL2019: Cost-Sensitive Regulation for Label Confustion-aware Event Detection
ACL2019: Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
ACL2019: Exploring Pre-trained Language Models for Event Extraction and Geenration
ACL2019: Literary Event Detection
ACL2019: Open Domain Event Extraction Using Neural Latent Variable Models
ACL2019: Rapid Customization for Event Extraction
Extending Event Detection to New Types with Learning from Keywords
WWW2019: Event Detection using Hierarchical Multi-Aspect Attention
CONLL2019: Exploiting the Entity Type Sequence to Benefit Event Detection
EMNLP2019: A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection
EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction
EMNLP2019: Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
EMNLP2019: Entity, Relation, and Event Extraction with Contextualized Span Representations
EMNLP2019: Event Detection with Multi-Order Graph Convolution and Aggregated
EMNLP2019: Event Detection with Trigger-Aware Lattice Neural Network
EMNLP2019: HMEAE: Hierarchical Modular Event Argument Extraction
EMNLP2019: Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
EMNLP2019: Neural Cross-Lingual Event Detection with Minimal Parallel Resources
EMNLP2019: Open Event Extraction from Online Text using a Generative Adversarial Network
EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
IJCAI2019: Extracting entities and events as a single task using a transition-based neural model
IJCNLP2019: A Hybrid Character Representatin for Chinese Event Detection
NAACL2019: Adversarial Training for Weakly Supervised Event Detection
NAACL2019: Event Detection without Triggers
NAACL2019: Biomedical Event Extraction based on Knowledge-driven Tree-LSTM
A Survey of Event Extraction from Text
Joint Event Extraction Based on Hierarchical Event Schemas From FrameNet
PAKDD2020: Exploiting the Matching Information in the Support Set for Few Shot Event Classification
WSDM2020: Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
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
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
ACL2020: A Two-Step Approach for Implicit Event Argument Detection
IJCAI2020: A Unified Model for Financial Event Classification, Detection and Summarization
IJCAI2020: F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
arXiv: Event Arguments Extraction via Dilate Gated Convolutional Neural Network with Enhanced Local Features
NLPCC2016 : A convolution bilstm neural network model for chinese event extraction 中文事件抽取
ACL2018: Nugget Proposal Networks for Chinese Event Detection
ACL2018: DCFFE: A Document-level Chinese Financial Event Extraction System based on Automatically Labelled Training Data
EMNLP2019: Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction
EMNLP2019: Event Detection with Trigger-Aware Lattice Neural Network
IJCNLP2019: A Hybrid Character Representatin for Chinese Event Detection
EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction
AACL2016: Liberal Event Extraction and Event Schema Enduction
NAACL2016: Joint Learning Templates and Slots for Event Schema Induction
AACL2015: Generative Event Schema Induction with Entity Disambiguation
COLING2018: Open-Domain Event Detection using Distant Supervision
ACL2019: Open Domain Event Extraction Using Neural Latent Variable Models
EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
arxiv2020: Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
ACL2016: Leveraging FrameNet to Improve Automatic Event Detection
ACL2017: Automatically Labeled Data Generation for Large Scale Event Extraction
ACL2019: Exploring Pre-trained Language Models for Event Extraction and Geenration
Extending Event Detection to New Types with Learning from Keywords
EMNLP2019: Open Event Extraction from Online Text using a Generative Adversarial Network
EMNLP2019: Reporting the unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes
arxiv2020: MAVEN: A Massive General Domain Event Detection Dataset
ACL2016: A Language-Independent Neural Network for Event Detection
COLING2016:Leveraging Multilingual Training for Limited Resource Event Extraction
AAAI2018: Event detection via gated multilingual attention mechanism
EMNLP2019: Cross-lingual Structure Transfer for Relation and Event Extraction
EMNLP2019: Neural Cross-Lingual Event Detection with Minimal Parallel Resources
ACL2018: Zero-Shot Transfer Learning for Event Extraction
PAKDD2020: Exploiting the Matching Information in the Support Set for Few Shot Event Classification
WSDM2020: Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection
2020.04.29更新
了解更多论文分享信息,请关注公众号深度学习的知识小屋