NLP事件相关论文(事件抽取、事件检测、事件关系抽取、信息抽取)阅读汇总_a survey of event relation extraction

记录阅读过的论文，点击论文题目可查看论文笔记。

Survey

• IEEE 2019 A Survey of Event Extraction from Text
• COMPUTER SCIENCE 2019 元事件抽取综述
• 计算机学报 图神经网络前沿进展与应用

Model structure of foundation

• ICLR 2015 NEURAL MACHINE TRANSLATION BY JOINTLY LEARNING TO ALIGN AND TRANSLATE
• NIPS 2017 Attention Is All You Need

Pre-training Model

• NAACL 2019 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• arxiv 2019 RoBERTa: A Robustly Optimized BERT Pretraining Approach

Named Entity Recognition

• arxiv 2015 Bidirectional LSTM-CRF Models for Sequence Tagging
• ACL 2018 Chinese NER Using Lattice LSTM

Semantic Role Labelling

• AAAI 2018 Deep Semantic Role Labeling with Self-Attention

Event Evolutionary Graph

• IJCAI 2018 Constructing Narrative Event Evolutionary Graph for Script Event Prediction

Information Extraction

• EMNLP 2019 Entity, Relation, and Event Extraction with Contextualized Span Representations
• NAACL 2019 A General Framework for Information Extraction using Dynamic Span Graphs
• ACL 2020 A Joint Neural Model for Information Extraction with Global Features
• ACL 2022 Unified Structure Generation for Universal Information Extraction

Event Extraction

• ACL 2010 Using Document Level Cross-Event Inference to Improve Event Extraction

• ACL 2015 Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

• NAACL 2016 Joint Event Extraction via Recurrent Neural Networks

• NLPCC/ICCPOL 2016 A Convolution BiLSTM Neural Network Model for Chinese Event Extraction

• ACL 2017 Automatically Labeled Data Generation for Large Scale Event Extraction

• ACL 2018 Zero-Shot Transfer Learning for Event Extraction

• ACL 2018 DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatical

• EMNLP 2018 Jointly Multiple Events Extraction via Attention-based Graph Information Aggregatio

• AAAI 2018 Scale Up Event Extraction Learning via Automatic Training Data Generation

• ACL 2019 Rapid Customization for Event Extraction

• ACL 2019 Open Domain Event Extraction Using Neural Latent Variable Models

• ACL 2019 Exploring Pre-trained Language Models for Event Extraction and Generation

• EMNLP 2019 Cross-lingual Structure Transfer for Relation and Event Extraction

• EMNLP 2019 Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

• AAAI 2019 One for All: Neural Joint Modeling of Entities and Events

• IJCAI 2019 Extracting Entities and Events as a Single Task Using a Transition-Based Neural Mode

• ACL 2020 Cross-media Structured Common Space for Multimedia Event Extraction

• ACL 2020 Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

• ACL 2020 Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation

• EMNLP 2020 Event Extraction by Answering (Almost) Natural Questions

• EMNLP Findings 2020 Event Extraction as Multi-turn Question Answering

• EMNLP Findings 2020 Biomedical Event Extraction with Hierarchical Knowledge Graphs

• COLING 2020 Joint Event Extraction with Hierarchical Policy Network

• Bioinformatics 2020 DeepEventMine: end-to-end neural nested event extraction from biomedical texts

• ACL 2021 CLEVE-Contrastive Pre-training for Event Extraction

• ACL 2021 Document-level Event Extraction via Parallel Prediction Networks

• ACL 2021 TEXT2EVENT: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction

• ACL 2021 Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker

• ACL 2021 Verb Knowledge Injection for Multilingual Event Processing

• ACL Findings 2021 CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event

• NAACL 2021 Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies

• EMNLP 2021 Joint Multimedia Event Extraction from Video and Article

• EMNLP 2021 Exploring Sentence Community for Document-Level Event Extraction

• EMNLP 2021 Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments

• ACL 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding

Event Detection

• ACL 2015 Event Detection and Domain Adaptation with Convolutional Neural Networks
• ACL 2016 A Language-Independent Neural Network for Event Detection
• ACL 2016 Leveraging FrameNet to Improve Automatic Event Detection
• ACL 2017 Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms
• ACL 2018 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention
• EMNLP 2018 Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms
• AAAI 2018 Graph Convolutional Networks with Argument-Aware Pooling for Event Detection
• EMNLP 2019 Event Detection with Trigger-Aware Lattice Neural Network
• NAACL 2019 Event Detection without Triggers
• NAACL 2019 Adversarial Training for Weakly Supervised Event Detection
• ACL 2020 Improving Event Detection via Open-domain Trigger Knowledge
• EMNLP 2020 Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
• EMNLP 2020 Reading the Manual-Event Extraction as Definition Comprehension
• ACL 2021 Low-resource Event Detection with Ontology Embedding
• ACL 2021 MLBiNet-A Cross-Sentence Collective Event Detection Network
• EMNLP 2021 Treasures Outside Contexts: Improving Event Detection via Global Statistics
• EMNLP 2021 Self-Attention Graph Residual Convolutional Network for Event Detection with dependency relations
• EMNLP 2021 Modeling Document-Level Context for Event Detection via Important Context Selection
• EMNLP 2021 Lifelong Event Detection with Knowledge Transfer
• EMNLP 2021 Learning Constraints and Descriptive Segmentation for Subevent Detection

Event Argument Extraction

• EMNLP 2019 HMEAE: Hierarchical Modular Event Argument Extraction
• ACL 2020 Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
• ACL 2020 A Two-Step Approach for Implicit Event Argument Detection
• EMNLP 2020 Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument
• EMNLP 2020 Resource-Enhanced Neural Model for Event Argument Extraction
• ACL 2021 Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
• AAAI 2021 What the role is vs. What plays the role: Semi-supervised Event Argument Extraction via Dual Question Answering
• AAAI 2021 GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
• NAACL 2021 Document-Level Event Argument Extraction by Conditional Generation
• EACL 2021 GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction

Event Coreference Resolution

• AAAI 2021 Span-Based Event Coreference Resolution
• ACL 2020 Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event

Event Graph Schema Induction

• EMNLP 2020 Connecting the Dots: Event Graph Schema Induction with Path Language Modeling

Event-Event Relation Extraction

• EMNLP 2020 Joint Constrained Learning for Event-Event Relation Extraction

Dataset

• EMNLP 2020 A Method for Building a Commonsense Inference Dataset based on Basic Events
• COLING 2020 New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT?

Other

• EMNLP 2020 Affective Event Classification with Discourse-enhanced Self-training
• EMNLP 2021 Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification

Relation Extraction

• COLING 2020 TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
• ACL 2019 Matching the Blanks: Distributional Similarity for Relation Learning

Reading Comprehension

• AAAI 2020 DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension

Document Understanding

• AAAI 2020 Message Passing Attention Networks for Document Understanding
• arxiv 2019 DocBERT: BERT for Document Classification
• AISTATS 2020 Rep the Set: Neural Networks for Learning Set Representations

Multimodal

• CVPR 2019 Modular Multimodal Architecture for Document Classification
• EMNLP 2021 Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

Template Filling

• NAACL 2021 Template Filling with Generative Transformers

Text Summarization

• EMNLP 2019 Text Summarization with Pretrained Encoders

Machine Learning

• ICNP 2016 MS-LSTM: a Multi-Scale LSTM Model for BGP Anomaly Detection
• ISCC 2019 BGP Dataset Generation and Feature Extraction for Anomaly Detection
• ICML 2017 Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs