COLING放榜啦！具体的论文列表请看这里！

和以往一下，小编对他们做了如下分类整理~

事件抽取

• Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism
• Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection
• Joint Event Extraction with Hierarchical Policy Network
• Event coreference resolution based on event-specific paraphrases and argument-aware semantic embeddings
• KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision
• Modeling Event Salience in Narratives via Barthes’ Cardinal Functions
• New Benchmark Corpus and Models for Fine-grained Event Classification: To BERT or not to BERT?
• TWEETSUM: Event oriented Social Summarization Dataset
• Distinguishing Between Foreground and Background Events in News
• Event-Guided Denoising for Multilingual Relation Learning

关系抽取

• Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction (强烈安利!!!)
• Document-level Relation Extraction with Dual-tier Heterogeneous Graph (强烈安利!!!)
• TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking (强烈安利!!!)
• Dual Supervision Framework for Relation Extraction with Distant
• Event-Guided Denoising for Multilingual Relation Learning
• Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction
• Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction
• Graph Enhanced Dual Attention Network for Document-Level Relation Extraction
• Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
• Improving Relation Extraction with Relational Paraphrase Sentences
• Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition
• Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
• Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations
• ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction
• Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction

NER

• Porous Lattice Transformer Encoder for Chinese NER (强烈安利!!!)
• An Analysis of Simple Data Augmentation for Named Entity Recognition
• Evaluating Pretrained Transformer-based Models on the Task of Fine-Grained Named Entity Recognition
• Exploring Cross-sentence Contexts for Named Entity Recognition with BERT
• Identifying Motion Entities in Natural Language and A Case Study for Named Entity Recognition
• Leveraging HTML in Free Text Web Named Entity Recognition
• Named Entity Recognition for Chinese biomedical patents
• Neural Language Modeling for Named Entity Recognition
• RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER

FewShot/ZeroShot

• A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification
• Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
• Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
• Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
• Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
• A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification
• ManyEnt: A Dataset for Few-shot Entity Classification
• Meta-Information Guided Meta-Learning for Few-Shot Relation Classification
• Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
• Effective Few-Shot Classification with Transfer Learning
• Emergent Communication Pretraining for Few-Shot Machine Translation
• Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
• Few-shot Pseudo-Labeling for Intent Detection
• Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network
• Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization
• GPT-based Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching
• Learning to Decouple Relations: Few-Shot Relation Classification with Entity-Guided Attention and Confusion-Aware Training
• Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
• Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack
• CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering
• Exploring the zero-shot limit of FewRel
• Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
• MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing

如有整理疏漏和错误的地方，还请大家多多指教(●'◡'●)！如果喜欢此文，还请关注公众号嗷