LREC-COLING 2024 (2024/05/20 ~ 2024/05/25)
- Building a Japanese Document-Level Relation Extraction Dataset Assisted by Cross-Lingual Transfer
- CARE: Co-Attention Network for Joint Entity and Relation Extraction
- Document-Level Event Extraction via Information Interaction Based on Event Relation and Argument Correlation
- Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction
- DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation
- FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
- Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast
- Few-Shot Relation Extraction with Hybrid Visual Evidence
- Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language
- Improving Continual Few-shot Relation Extraction through Relational Knowledge Distillation and Prototype Augmentation
- Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction
- Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic
- Malaysian English News Decoded: A Linguistic Resource for Named Entity and Relation Extraction
- MixRED: A Mix-lingual Relation Extraction Dataset
- Pointing Out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
- PolyNERE: A Novel Ontology and Corpus for Named Entity Recognition and Relation Extraction in Polymer Science Domain
- Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
- Prompt Tuning for Few-shot Relation Extraction via Modeling Global and Local Graphs
- Synergetic Interaction Network with Cross-task Attention for Joint Relational Triple Extraction
- TacoERE: Cluster-aware Compression for Event Relation Extraction
- Towards Realistic Few-Shot Relation Extraction: A New Meta Dataset and Evaluation
- Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
- Towards Using Automatically Enhanced Knowledge Graphs to Aid Temporal Relation Extraction
- Investigating the Impact of Different Graph Representations for Relation Extraction with Graph Neural Networks
- Automated Extraction of Hypo-Hypernym Relations for the Ukrainian WordNet
EACL 2024 (2024/03/17 ~ 2024/03/22)
CoNLL 2023 (2023/12/06 ~ 2023/12/07)
EMNLP 2023 (2023/12/06 ~ 2023/12/10)
- Document-level Relationship Extraction by Bidirectional Constraints of Beta Rules
- GPT-RE: In-context Learning for Relation Extraction using Large Language Models
- RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
- Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
- Generating Commonsense Counterfactuals for Stable Relation Extraction
- HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction
- Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks
- Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs
- Anaphor Assisted Document-Level Relation Extraction
- Self-distilled Transitive Instance Weighting for Denoised Distantly Supervised Relation Extraction
- Global Structure Knowledge-Guided Relation Extraction Method for Visually-Rich Document
- Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction
- CoVariance-based Causal Debiasing for Entity and Relation Extraction
- Adaptive Hinge Balance Loss for Document-Level Relation Extraction
- Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path
- Explore the Way: Exploring Reasoning Path by Bridging Entities for Effective Cross-Document Relation Extraction
- Reasoning Makes Good Annotators : An Automatic Task-specific Rules Distilling Framework for Low-resource Relation Extraction
- Chinese Metaphorical Relation Extraction: Dataset and Models
- A Spectral Viewpoint on Continual Relation Extraction
- Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction
- HFMRE: Constructing Huffman Tree in Bags to Find Excellent Instances for Distantly Supervised Relation Extraction
- Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction
- From Speculation Detection to Trustworthy Relational Tuples in Information Extraction
- How Fragile is Relation Extraction under Entity Replacements?
- How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction
- 90% F1 Score in Relation Triple Extraction: Is it Real?
- Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents
- A Hybrid of Rule-based and Transformer-based Approaches for Relation Extraction in Biodiversity Literature
IJCNLP-AACL 2023 (2023/11/01 ~ 2023/11/04)
- Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?
- PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration
- GPT-FinRE: In-context Learning for Financial Relation Extraction using Large Language Models
- Relation Extraction from Scientific Texts in Russian with Limited Training Data
ACL 2023 (2023/07/09 ~ 2023/07/14)
- Improving Continual Relation Extraction by Distinguishing Analogous Semantics
- Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
- HistRED: A Historical Document-Level Relation Extraction Dataset
- MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset
- REDFM: a Filtered and Multilingual Relation Extraction Dataset
- Actively Supervised Clustering for Open Relation Extraction
- Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction
- RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction
- Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View
- Consistent Prototype Learning for Few-Shot Continual Relation Extraction
- Linguistic representations for fewer-shot relation extraction across domains
- S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction
- Open Set Relation Extraction via Unknown-Aware Training
- More than Classification: A Unified Framework for Event Temporal Relation Extraction
- A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction
- OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction
- TAGPRIME: A Unified Framework for Relational Structure Extraction
- Continual Contrastive Finetuning Improves Low-Resource Relation Extraction
- Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation
- Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling
- Revisiting Relation Extraction in the era of Large Language Models
- Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction
- Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction
- Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis
- Zshot: An Open-source Framework for Zero-Shot Named Entity Recognition and Relation Extraction
- Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction
- DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction
- Rethinking Document-Level Relation Extraction: A Reality Check
- Silver Syntax Pre-training for Cross-Domain Relation Extraction
- Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
- Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction
- Learning to Leverage High-Order Medical Knowledge Graph for Joint Entity and Relation Extraction
- Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction
- Enhancing Continual Relation Extraction via Classifier Decomposition
- GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks
- Multi-hop Evidence Retrieval for Cross-document Relation Extraction
- Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training
- Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction
- Zero-shot Temporal Relation Extraction with ChatGPT
- Building a Corpus for Biomedical Relation Extraction of Species Mentions
- Distantly Supervised Document-Level Biomedical Relation Extraction with Neighborhood Knowledge Graphs
- Biomedical Relation Extraction with Entity Type Markers and Relation-specific Question Answering
- Toward Consistent and Informative Event-Event Temporal Relation Extraction
- Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names
- Effect Graph: Effect Relation Extraction for Explanation Generation
- How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
EACL 2023 (2023/05/02 ~ 2023/05/06)
- Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction
- Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
- Event Temporal Relation Extraction with Bayesian Translational Model
- DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
- Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction
- Weakly-Supervised Questions for Zero-Shot Relation Extraction
- Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision
CoNLL 2022 (2022/12/07 ~ 2022/12/08)
EMNLP 2022 (2022/12/07 ~ 2022/12/11)
- Graph-based Model Generation for Few-Shot Relation Extraction
- ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
- MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
- Fine-grained Contrastive Learning for Relation Extraction
- Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction
- ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
- A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
- RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction
- Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
- Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
- Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction
- Better Few-Shot Relation Extraction with Label Prompt Dropout
- UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
- Query-based Instance Discrimination Network for Relational Triple Extraction
- MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
- Towards Better Document-level Relation Extraction via Iterative Inference
- Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
- Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations
- Entity-centered Cross-document Relation Extraction
- A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
- Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules
- Towards relation extraction from speech
- Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
- Not Just Plain Text! Fuel Document-Level Relation Extraction with Explicit Syntax Refinement and Subsentence Modeling
- DORE: Document Ordered Relation Extraction based on Generative Framework
- CrossRE: A Cross-Domain Dataset for Relation Extraction
- Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method
- Named Entity and Relation Extraction with Multi-Modal Retrieval
- Explore Unsupervised Structures in Pretrained Models for Relation Extraction
- Summarization as Indirect Supervision for Relation Extraction
- How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction
- Condition-Treatment Relation Extraction on Disease-related Social Media Data
- ArabIE: Joint Entity, Relation and Event Extraction for Arabic
AACL-IJCNLP 2022 (2022/11/20 ~ 2022/11/23)
- Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations
- FPC: Fine-tuning with Prompt Curriculum for Relation Extraction
- An Improved Baseline for Sentence-level Relation Extraction
- An Empirical Study of Pipeline vs. Joint approaches to Entity and Relation Extraction
- Towards Bootstrapping a Chatbot on Industrial Heritage through Term and Relation Extraction
COLING 2022 (2022/10/12 ~ 2022/10/17)
- GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction
- Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction
- Improving Continual Relation Extraction through Prototypical Contrastive Learning
- Key Mention Pairs Guided Document-Level Relation Extraction
- A Hybrid Model of Classification and Generation for Spatial Relation Extraction
- RSGT: Relational Structure Guided Temporal Relation Extraction
- STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction
- DCT-Centered Temporal Relation Extraction
- Document-level Biomedical Relation Extraction Based on Multi-Dimensional Fusion Information and Multi-Granularity Logical Reasoning
- DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction
- CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction
- MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction
- A Relation Extraction Dataset for Knowledge Extraction from Web Tables
- Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning
- Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
- Finding Influential Instances for Distantly Supervised Relation Extraction
- A Simple Model for Distantly Supervised Relation Extraction
- PatternRank: Jointly Ranking Patterns and Extractions for Relation Extraction Using Graph-Based Algorithms
- Exploiting Unary Relations with Stacked Learning for Relation Extraction
NAACL 2022 (2022/07/10 ~ 2022/07/15)
- EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction
- Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction
- Generic and Trend-aware Curriculum Learning for Relation Extraction
- SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
- Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
- Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis
- A Dataset for N-ary Relation Extraction of Drug Combinations
- Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods
- Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies
- RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction
- Modeling Multi-Granularity Hierarchical Features for Relation Extraction
- Modeling Task Interactions in Document-Level Joint Entity and Relation Extraction
- Few-Shot Document-Level Relation Extraction
- HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
- Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision
- Dependency Position Encoding for Relation Extraction
- Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
- GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction
- Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction
- Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration
- RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction
- Ensemble-based Fine-Tuning Strategy for Temporal Relation Extraction from the Clinical Narrative
- Exploring Text Representations for Generative Temporal Relation Extraction
- Improving Distantly Supervised Document-Level Relation Extraction Through Natural Language Inference
- HITSZ-HLT at SemEval-2022 Task 10: A Span-Relation Extraction Framework for Structured Sentiment Analysis
- AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities
LREC 2022 (2022/06/20 ~ 2022/06/25)
- The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues
- How’s Business Going Worldwide ? A Multilingual Annotated Corpus for Business Relation Extraction
- JaMIE: A Pipeline Japanese Medical Information Extraction System with Novel Relation Annotation
- Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
- Enhanced Distant Supervision with State-Change Information for Relation Extraction
- Enhancing Relation Extraction via Adversarial Multi-task Learning
ACL 2022 (2022/05/22 ~ 2022/05/27)
- Packed Levitated Marker for Entity and Relation Extraction
- Pre-training to Match for Unified Low-shot Relation Extraction
- Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction
- Event-Event Relation Extraction using Probabilistic Box Embedding
- PARE: A Simple and Strong Baseline for Monolingual and Multilingual Distantly Supervised Relation Extraction
- DiS-ReX: A Multilingual Dataset for Distantly Supervised Relation Extraction
- RFBFN: A Relation-First Blank Filling Network for Joint Relational Triple Extraction
- What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
- Pretrained Knowledge Base Embeddings for improved Sentential Relation Extraction
- Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs
- RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
- Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
- A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction
- MIMICause: Representation and automatic extraction of causal relation types from clinical notes
- Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph
- Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
- Improving Relation Extraction through Syntax-induced Pre-training with Dependency Masking
- HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction
- Consistent Representation Learning for Continual Relation Extraction
- A sequence-to-sequence approach for document-level relation extraction
- Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models
- Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets
- D-REX: Dialogue Relation Extraction with Explanations
- Improving Discriminative Learning for Zero-Shot Relation Extraction
- Joint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks
- Opinion-based Relational Pivoting for Cross-domain Aspect Term Extraction
CoNLL 2021 (2021/11/10 ~ 2021/11/11)
EMNLP 2021 (2021/11/07 ~ 2021/11/11)
- Distantly Supervised Relation Extraction using Multi-Layer Revision Network and Confidence-based Multi-Instance Learning
- A Partition Filter Network for Joint Entity and Relation Extraction
- Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction
- Learning Logic Rules for Document-Level Relation Extraction
- Unsupervised Relation Extraction: A Variational Autoencoder Approach
- Exploring Task Difficulty for Few-Shot Relation Extraction
- A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
- MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
- Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction
- Entity Relation Extraction as Dependency Parsing in Visually Rich Documents
- Synchronous Dual Network with Cross-Type Attention for Joint Entity and Relation Extraction
- Relation Extraction with Word Graphs from N-grams
- Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph
- CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild
- Modular Self-Supervision for Document-Level Relation Extraction
- Towards Realistic Few-Shot Relation Extraction
- Incorporating medical knowledge in BERT for clinical relation extraction
- Crosslingual Transfer Learning for Relation and Event Extraction via Word Category and Class Alignments
- TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations
- Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
- A Relation-Oriented Clustering Method for Open Relation Extraction
- Utilizing Relative Event Time to Enhance Event-Event Temporal Relation Extraction
- Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction
- Semi-supervised Relation Extraction via Incremental Meta Self-Training
- Distantly Supervised Relation Extraction in Federated Settings
- GenerativeRE: Incorporating a Novel Copy Mechanism and Pretrained Model for Joint Entity and Relation Extraction
- REBEL: Relation Extraction By End-to-end Language generation
- Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks
ACL-IJCNLP 2021 (2021/08/01 ~ 2021/08/06)
- UniRE: A Unified Label Space for Entity Relation Extraction
- Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
- From Discourse to Narrative: Knowledge Projection for Event Relation Extraction
- Revisiting the Negative Data of Distantly Supervised Relation Extraction
- Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
- How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction
- Element Intervention for Open Relation Extraction
- CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
- StereoRel: Relational Triple Extraction from a Stereoscopic Perspective
- CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
- SENT: Sentence-level Distant Relation Extraction via Negative Training
- PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
- Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
- TIMERS: Document-level Temporal Relation Extraction
- Entity Concept-enhanced Few-shot Relation Extraction
- Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction
- From What to Why: Improving Relation Extraction with Rationale Graph
- SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
- KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
- Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction
- MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction
- Discriminative Reasoning for Document-level Relation Extraction
- Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
- Relation Extraction with Type-aware Map Memories of Word Dependencies
- H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction
- Paths to Relation Extraction through Semantic Structure
- A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
- GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction
- HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications
- Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning
- Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction
- Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction
- Entity and Evidence Guided Document-Level Relation Extraction
- DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction
- Counts@IITK at SemEval-2021 Task 8: SciBERT Based Entity And Semantic Relation Extraction For Scientific Data
NAACL 2021 (2021/06/06 ~ 2021/06/11)
- Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priors
- A Frustratingly Easy Approach for Entity and Relation Extraction
- ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
- Open Hierarchical Relation Extraction
- Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction
EACL 2021 (2021/04/19 ~ 2021/04/23)
- Multilingual Entity and Relation Extraction Dataset and Model
- Attention-based Relational Graph Convolutional Network for Target-Oriented Opinion Words Extraction
- Learning Relatedness between Types with Prototypes for Relation Extraction
- ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction
- An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning
- Two Training Strategies for Improving Relation Extraction over Universal Graph
- CovRelex: A COVID-19 Retrieval System with Relation Extraction
- Relating Relations: Meta-Relation Extraction from Online Health Forum Posts
- Effective Distant Supervision for Temporal Relation Extraction
- Extraction of Common-Sense Relations from Procedural Task Instructions using BERT
COLING 2020 (2020/12/08 ~ 2020/12/13)
- Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations
- Graph Enhanced Dual Attention Network for Document-Level Relation Extraction
- Joint Entity and Relation Extraction for Legal Documents with Legal Feature Enhancement
- TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
- Document-level Relation Extraction with Dual-tier Heterogeneous Graph
- Improving Long-Tail Relation Extraction with Collaborating Relation-Augmented Attention
- ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction
- Improving Relation Extraction with Relational Paraphrase Sentences
- Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
- Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction
- Regularized Attentive Capsule Network for Overlapped Relation Extraction
- Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction
- Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
- Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction
- Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
- Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
AACL-IJCNLP 2020 (2020/12/04 ~ 2022/12/07)
CoNLL 2020 (2020/11/19 ~ 2020/11/20)
EMNLP 2020 (2020/11/16 ~ 2020/11/20)
- Joint Constrained Learning for Event-Event Relation Extraction
- Double Graph Based Reasoning for Document-level Relation Extraction
- Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
- FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
- Learning from Context or Names? An Empirical Study on Neural Relation Extraction
- SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
- Denoising Relation Extraction from Document-level Distant Supervision
- Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!
- Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
- Global-to-Local Neural Networks for Document-Level Relation Extraction
- Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
- Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
- Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction
- Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion
- The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction
- Joint Learning with Pre-trained Transformer on Named Entity Recognition and Relation Extraction Tasks for Clinical Analytics
- Relation Extraction with Contextualized Relation Embedding (CRE)
- Entity Attribute Relation Extraction with Attribute-Aware Embeddings
- Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
ACL 2020 (2020/07/05 ~ 2020/07/10)
- A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
- In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts
- Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
- Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
- TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
- Towards Understanding Gender Bias in Relation Extraction
- Dialogue-Based Relation Extraction
- Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
- Relation Extraction with Explanation
- Revisiting Unsupervised Relation Extraction
- Exploiting the Syntax-Model Consistency for Neural Relation Extraction
- ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages
- A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction
- A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction
- Global Locality in Biomedical Relation and Event Extraction
- Brand-Product Relation Extraction Using Heterogeneous Vector Space Representations
- Domain Adapted Distant Supervision for Pedagogically Motivated Relation Extraction
- A French Corpus and Annotation Schema for Named Entity Recognition and Relation Extraction of Financial News
- Reproducing Neural Ensemble Classifier for Semantic Relation Extraction inScientific Papers
- Extraction of Hyponymic Relations in French with Knowledge-Pattern-Based Word Sketches
EMNLP-IJCNLP 2019 (2019/11/03 ~ 2019/11/07)
- Leveraging Dependency Forest for Neural Medical Relation Extraction
- Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
- Improving Relation Extraction with Knowledge-attention
- Cross-lingual Structure Transfer for Relation and Event Extraction
- Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning
- Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
- Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping
- Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction
- Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
- Improving Distantly-Supervised Relation Extraction with Joint Label Embedding
- Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
- Easy First Relation Extraction with Information Redundancy
- Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction
- Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs
- Entity, Relation, and Event Extraction with Contextualized Span Representations
- An Improved Neural Baseline for Temporal Relation Extraction
- Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas
- OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
- Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture
- Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019
- BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes
- Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs
- On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning
- Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction
- A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications
- Distant Supervised Relation Extraction with Separate Head-Tail CNN
- Deep Bidirectional Transformers for Relation Extraction without Supervision
- X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
- Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism
CoNLL 2019 (2019/11/03 ~ 2019/11/04)
- MrMep: Joint Extraction of Multiple Relations and Multiple Entity Pairs Based on Triplet Attention
- Effective Attention Modeling for Neural Relation Extraction
- Deep Structured Neural Network for Event Temporal Relation Extraction
ACL 2019 (2019/07/28 ~ 2019/08/02)
- Neural Relation Extraction for Knowledge Base Enrichment
- Attention Guided Graph Convolutional Networks for Relation Extraction
- DocRED: A Large-Scale Document-Level Relation Extraction Dataset
- Graph Neural Networks with Generated Parameters for Relation Extraction
- Entity-Relation Extraction as Multi-Turn Question Answering
- Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
- Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
- Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
- GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
- DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
- Fine-Grained Temporal Relation Extraction
- Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
- Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
- Span-Level Model for Relation Extraction
- REflex: Flexible Framework for Relation Extraction in Multiple Domains
- BioRelEx 1.0: Biological Relation Extraction Benchmark
- Meta-Learning Improves Lifelong Relation Extraction
- A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains
NAACL 2019 (2019/06/02 ~ 2019/06/07)
- Semi-Supervised Teacher-Student Architecture for Relation Extraction
- UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering
- OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
- Sentence Embedding Alignment for Lifelong Relation Extraction
- Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision
- Relation Extraction using Explicit Context Conditioning
- Combining Distant and Direct Supervision for Neural Relation Extraction
- Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
- A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction
- Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
- GAN Driven Semi-distant Supervision for Relation Extraction
- Structured Minimally Supervised Learning for Neural Relation Extraction
- Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction
- Document-Level N-ary Relation Extraction with Multiscale Representation Learning
- A Bag-of-concepts Model Improves Relation Extraction in a Narrow Knowledge Domain with Limited Data
- Multilingual Entity, Relation, Event and Human Value Extraction
- A BERT-based Universal Model for Both Within- and Cross-sentence Clinical Temporal Relation Extraction
- Attention Neural Model for Temporal Relation Extraction
EMNLP 2018 (2018/10/31 ~ 2018/11/04)
- Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
- Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction
- RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
- Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning
- Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
- Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction
- N-ary Relation Extraction using Graph-State LSTM
- Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention
- Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding
- Adversarial training for multi-context joint entity and relation extraction
- Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings
- DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction
- Investigating the Challenges of Temporal Relation Extraction from Clinical Text
- Syntax-based Transfer Learning for the Task of Biomedical Relation Extraction
- Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction
CoNLL 2018 (2018/10/31 ~ 2018/11/01)
COLING 2018 (2018/08/20 ~ 2018/08/26)
- Cooperative Denoising for Distantly Supervised Relation Extraction
- Adversarial Multi-lingual Neural Relation Extraction
ACL 2018 (2018/07/15 ~ 2018/07/20)
- DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction
- Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning
- A Walk-based Model on Entity Graphs for Relation Extraction
- Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction
- Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
- Automatic Extraction of Entities and Relation from Legal Documents
NAACL 2018 (2018/06/01 ~ 2018/06/06)
- Joint Bootstrapping Machines for High Confidence Relation Extraction
- Global Relation Embedding for Relation Extraction
- Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource
- Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
- Visually Guided Spatial Relation Extraction from Text
- Anaphora Resolution for Improving Spatial Relation Extraction from Text
LREC 2018 (2018/05/07 ~ 2018/05/12)
- Simple Large-scale Relation Extraction from Unstructured Text
- A Dataset for Inter-Sentence Relation Extraction using Distant Supervision
- Incorporating Global Contexts into Sentence Embedding for Relational Extraction at the Paragraph Level with Distant Supervision
- Revisiting Distant Supervision for Relation Extraction
- A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events
- A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products
IJCNLP 2017 (2017/11/27 ~ 2017/12/01)
- Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks
- Open Relation Extraction and Grounding
- Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network
EMNLP 2017 (2017/09/07 ~ 2017/09/11)
- Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
- A Structured Learning Approach to Temporal Relation Extraction
- End-to-End Neural Relation Extraction with Global Optimization
- Incorporating Relation Paths in Neural Relation Extraction
- Adversarial Training for Relation Extraction
- Context-Aware Representations for Knowledge Base Relation Extraction
- A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction
- Deep Residual Learning for Weakly-Supervised Relation Extraction
- Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective
CoNLL 2017 (2017/08/03 ~ 2017/08/04)
ACL 2017 (2017/07/30 ~ 2017/08/04)
- Neural Relation Extraction with Multi-lingual Attention
- Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix
- Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
- Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
- Neural Architecture for Temporal Relation Extraction: A Bi-LSTM Approach for Detecting Narrative Containers
- Self-Crowdsourcing Training for Relation Extraction
EACL 2017 (2017/04/03 ~ 2017/04/07)
- End-to-end Relation Extraction using Neural Networks and Markov Logic Networks
- Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network
- Structured Learning for Temporal Relation Extraction from Clinical Records
- Distant Supervision for Relation Extraction beyond the Sentence Boundary
- Noise Mitigation for Neural Entity Typing and Relation Extraction
- Neural Temporal Relation Extraction
COLING 2016 (2016/12/11 ~ 2016/12/16)
- CATENA: CAusal and TEmporal relation extraction from NAtural language texts
- Global Inference to Chinese Temporal Relation Extraction
- Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks
- Attention-Based Convolutional Neural Network for Semantic Relation Extraction
- Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
- Interactive Relation Extraction in Main Memory Database Systems
- A Sentence Simplification System for Improving Relation Extraction
EMNLP 2016 (2016/11/01 ~ 2016/11/05)
CoNLL 2016 (2016/08/11 ~ 2016/08/12)
ACL 2016 (2016/08/07 ~ 2016/08/12)
- Investigating LSTMs for Joint Extraction of Opinion Entities and Relations
- End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
- Neural Relation Extraction with Selective Attention over Instances
- Question Answering on Freebase via Relation Extraction and Textual Evidence
NAACL 2016 (2016/06/12 ~ 2016/06/17)
- Multilingual Relation Extraction using Compositional Universal Schema
- Effective Crowd Annotation for Relation Extraction
LREC 2016 (2016/05/23 ~ 2016/05/28)
- A Sequence Model Approach to Relation Extraction in Portuguese
- TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns
- Semantic Relation Extraction with Semantic Patterns Experiment on Radiology Reports
EMNLP 2015 (2015/09/17 ~ 2015/09/21)
- Inferring Binary Relation Schemas for Open Information Extraction
- Sieve-Based Spatial Relation Extraction with Expanding Parse Trees
- Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- CORE: Context-Aware Open Relation Extraction with Factorization Machines
- Improved Relation Extraction with Feature-Rich Compositional Embedding Models
CoNLL 2015 (2015/07/30 ~ 2015/07/31)
ACL-IJCNLP 2015 (2015/07/26 ~ 2015/07/31)
- Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach
- Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
- A Web-based Collaborative Evaluation Tool for Automatically Learned Relation Extraction Patterns
- SCHNÄPPER: A Web Toolkit for Exploratory Relation Extraction
NAACL 2015 (2015/05/31 ~ 2015/06/05)
- Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
- Injecting Logical Background Knowledge into Embeddings for Relation Extraction
- Multilingual Open Relation Extraction Using Cross-lingual Projection
- Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
- Relation extraction pattern ranking using word similarity
- Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks
- Relation Extraction from Community Generated Question-Answer Pairs