← Applications
Natural Language Processing › Applications ›

Relation Extraction

207 directly classified papers

Papers per year

Papers

Revisiting Unsupervised Relation Extraction ACL 2020
Relation Extraction with Explanation ACL 2020
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task ACL 2020
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction ACL 2020
Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction ACL 2020
Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data ACL 2019
Joint Type Inference on Entities and Relations via Graph Convolutional Networks ACL 2019
Extracting Multiple-Relations in One-Pass with Pre-Trained Transformers ACL 2019
Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ACL 2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering ACL 2019
Learning to Transfer Relational Representations through Analogy AAAI 2019
Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector AAAI 2019
Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses ACL 2019
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction AAAI 2019
Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction ACL 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification ACL 2019
Improving Relation Extraction with Knowledge-attention EMNLP 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019
KnowledgeNet: A Benchmark Dataset for Knowledge Base Population EMNLP 2019
DeepGeneMD: A Joint Deep Learning Model for Extracting Gene Mutation-Disease Knowledge from PubMed Literature EMNLP 2019
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction EMNLP 2019
Linguistically Informed Relation Extraction and Neural Architectures for Nested Named Entity Recognition in BioNLP-OST 2019 EMNLP 2019
On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning EMNLP 2019