siyuyuan / GET
Code for our EMNLP 2022 paper: Generative Entity Typing with Curriculum Learning.
☆13Updated last year
Alternatives and similar repositories for GET:
Users that are interested in GET are comparing it to the libraries listed below
- [EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study☆33Updated 10 months ago
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆20Updated 2 years ago
- ☆17Updated 2 years ago
- This repository implements our EMNLP 2022 research paper A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.☆27Updated 2 years ago
- [CCKS2022 ] Multimodal Event Detection and Argument Extraction.☆21Updated 2 years ago
- Resources for our AAAI 2023 paper: "Converge to the Truth: Factual Error Correction via Iterative Constrained Editing".☆8Updated last year
- ☆18Updated 2 years ago
- [EMNLP2022] Released code for paper "Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition"☆16Updated last year
- ☆13Updated 2 years ago
- Clues Before Answers: Generation-Enhanced Multiple-Choice QA (NAACL 2022)☆28Updated last year
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆28Updated last year
- ☆17Updated 2 years ago
- [ACL 2021] MLBiNet: A Cross-Sentence Collective Event Detection Network☆35Updated 3 years ago
- [NLPCC 2023] Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings with Language Models☆50Updated last year
- Code for 'Prototypical Representation Learning for Relation Extraction'.☆30Updated 3 years ago
- Code of ACL 2022 paper Debiased Contrastive Learning of Unsupervised Sentence Representations☆30Updated 2 years ago
- [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors☆34Updated 7 months ago
- Few-shot In-context Learning for Knowledge Base Question Answering☆59Updated last year
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆38Updated last year
- ☆14Updated 3 years ago
- ☆19Updated 3 years ago
- Code for "SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition", accepted at COLING 2022.☆12Updated 2 years ago
- ☆31Updated 2 years ago
- ☆37Updated 2 years ago
- Code for "MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER"☆46Updated 2 years ago
- An (incomplete) overview of information extraction☆41Updated 2 years ago
- Materials for AACL-IJCNLP-2022 tutorial: Efficient and Robust Knowledge Graph Construction☆25Updated last year
- Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"☆15Updated 2 years ago
- [Findings of EMNLP 2022] Code of paper Generative Prompt Tuning for Relation Classification. https://arxiv.org/abs/2210.12435☆20Updated last year
- Code and data of WSDM 2023 paper "Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark".☆21Updated last year