【ACL2020放榜!】事件抽取、关系抽取、NER、Few-Shot 相关论文整理
来自:深度学习的知识小屋 公众号
重磅!ACL2020 官方放榜啦!传送门: https://acl2020.org/program/accepted/
小编在此整理出了一份事件抽取、关系抽取、命名实体识别、Few-Shot以及在模型中使用GCN和其他一些感兴趣相关论文的列表,希望可以为需要的小伙伴提供便利吖~
(深夜整理,就不放链接了/(ㄒoㄒ)/~~)
事件抽取
Cross-media Structured Common Space for Multimedia Event Extraction
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding
Improving Event Detection via Open-domain Trigger Knowledge
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
A Two-Step Approach for Implicit Event Argument Detection
关系抽取
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
Dialogue-Based Relation Extraction
Exploiting the Syntax-Model Consistency for Neural Relation Extraction
Generalizing Natural Language Analysis through Span-relation Representations
In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction
Rationalizing Medical Relation Prediction from Corpus-level Statistics
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
Towards Understanding Gender Bias in Relation Extraction
TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
Implicit Discourse Relation Classification: We Need to Talk about Evaluation
Relation Extraction with Explanation
Revisiting Unsupervised Relation Extraction
命名实体识别
An Effective Transition-based Model for Discontinuous NER
Multi-Cell Compositional LSTM for NER Domain Adaptation
Simplify the Usage of Lexicon in Chinese NER
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
FLAT: Chinese NER Using Flat-Lattice Transformer
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition
A Unified MRC Framework for Named Entity Recognition
Bipartite Flat-Graph Network for Nested Named Entity Recognition
Code and Named Entity Recognition in StackOverflow
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Pyramid: A Layered Model for Nested Named Entity Recognition
Sources of Transfer in Multilingual Named Entity Recognition
Temporally-Informed Analysis of Named Entity Recognition
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition
Named Entity Recognition as Dependency Parsing
Soft Gazetteers for Low-Resource Named Entity Recognition
Few-Shot
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Dynamic Memory Induction Networks for Few-Shot Text Classification
Few-Shot NLG with Pre-Trained Language Model
Shaping Visual Representations with Language for Few-Shot Classification
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
GCN-based
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics
Bipartite Flat-Graph Network for Nested Named Entity Recognition
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension
Fine-grained Fact Verification with Kernel Graph Attention Network
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media
Graph Neural News Recommendation with Unsupervised Preference Disentanglement
Heterogeneous Graph Neural Networks for Extractive Document Summarization
Heterogeneous Graph Transformer for Graph-to-Sequence Learning
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection
其他~
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
Relational Graph Attention Network for Aspect-based Sentiment Analysis
Neighborhood Matching Network for Entity Alignment
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations
整理过程中可能有疏漏错误之处(尤其是分类),请大家多多包含呐~(●'◡'●)
投稿或交流学习,备注:昵称-学校(公司)-方向,进入DL&NLP交流群。
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