relation extraction

Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024 Continual Relation Extraction via Sequential Multi-Task Learning AAAI 2024 Dissecting Biases in Relation Extraction: A Cross-Dataset Analysis on People’s Gender and Origin ACL 2024 Distantly-Supervised Joint Extraction with Noise-Robust Learning ACL 2024 DMON: A Simple Yet Effective Approach for Argument Structure Learning COLING 2024 Document-level Clinical Entity and Relation extraction via Knowledge Base-Guided Generation ACL 2024 Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024 DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation COLING 2024 DuRE: Dual Contrastive Self Training for Semi-Supervised Relation Extraction NAACL 2024 End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction ACL 2024 End-to-End Relation Extraction of Pharmacokinetic Estimates from the Scientific Literature ACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024 Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction EMNLP 2024 Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction ACL 2024 Evaluating Generative Language Models in Information Extraction as Subjective Question Correction COLING 2024 Extracting Relations from Ecclesiastical Cultural Heritage Texts EMNLP 2024 Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast COLING 2024 Few-Shot Relation Extraction with Hybrid Visual Evidence COLING 2024 Fine-tuning Language Models for Triple Extraction with Data Augmentation ACL 2024 FRACAS: a FRench Annotated Corpus of Attribution relations in newS COLING 2024 General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction EMNLP 2024 GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models NAACL 2024 Get the Best out of 1B LLMs: Insights from Information Extraction on Clinical Documents ACL 2024 GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction ACL 2024