yanzhh / HGERE
Source Code for "Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networks"
☆22Updated 2 months ago
Related projects: ⓘ
- ☆15Updated 2 years ago
- Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models☆11Updated 4 months ago
- [EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study☆33Updated 6 months ago
- Code for "A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction". accepted at WWW 2021.☆27Updated 3 years ago
- ☆15Updated last year
- Source code for paper "EIDER: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion…☆40Updated 2 years ago
- Code of the CMNLN model☆10Updated 2 years ago
- [ACL 2021] MLBiNet: A Cross-Sentence Collective Event Detection Network☆35Updated 2 years ago
- Focusing on ACE 2005 data preprocessing, we provide doc-level, sentence-level and BIO-style golden data preprocessing, the only thing you…☆36Updated 3 years ago
- Source code for ACL-IJCNLP 2021 findings paper: MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation E…☆15Updated 2 years ago
- Implementation of our paper "Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Re…☆10Updated 2 years ago
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆20Updated last year
- This repository implements our EMNLP 2022 research paper A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.☆25Updated last year
- CCKS2022竞赛中任务十三采用方法☆21Updated last year
- ☆29Updated 2 years ago
- SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction☆18Updated last year
- Source code for NAACL 2022 paper: Relation-Specific Attentions over Entity Mentions for Enhanced Document-Level Relation Extraction☆16Updated 2 years ago
- ☆15Updated 3 years ago
- Learning Logic Rules for Document-Level Relation Extraction☆45Updated 2 years ago
- Source code for "A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction" @ NAACL 2022☆36Updated 2 years ago
- Code and data for NAACL 2022 paper Few-Shot Document-Level Relation Extraction☆26Updated last year
- Code for 'Prototypical Representation Learning for Relation Extraction'.☆30Updated 3 years ago
- Learning Latent Forests for Medical Relation Extraction (authors' PyTorch implementation for the IJCAI20 paper)☆24Updated 3 years ago
- knowledge graph population in low resource conditions☆39Updated 3 years ago
- ☆18Updated last year
- Code for "SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition", accepted at COLING 2022.☆12Updated last year
- An (incomplete) overview of information extraction☆41Updated 2 years ago
- ☆38Updated last year
- Dataset and code for COLING2022 paper Event Causality Extraction with Event Argument Correlations☆48Updated last year
- Implementation of None Class Ranking Loss for Document-Level Relation Extraction☆13Updated last year