StefanHeng / ProgGen
Code for paper "ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models"
☆18Updated last year
Alternatives and similar repositories for ProgGen:
Users that are interested in ProgGen are comparing it to the libraries listed below
- This is a meta-model distilled from LLMs for information extraction. This is an intermediate checkpoint that can be well-transferred to a…☆27Updated 2 months ago
- The github repository for the paper at COLING 2025: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.☆21Updated 9 months ago
- [EMNLP 2023] Knowledge Rumination for Pre-trained Language Models☆17Updated last year
- Code for paper "Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification"☆14Updated last year
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆51Updated last year
- ☆26Updated 10 months ago
- Merging Generated and Retrieved Knowledge for Open-Domain QA (EMNLP 2023)☆22Updated last year
- Rethinking Negative Instances for Generative Named Entity Recognition [ACL 2024 Findings]☆50Updated last year
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆20Updated 2 years ago
- Data and code for ACL 2022 paper "MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data"☆42Updated 6 months ago
- ☆21Updated last year
- Code for the ACL 2024 paper "PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning"☆12Updated last year
- Code for ACL 2023 Paper: ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER☆20Updated last year
- [NeurIPS 2021] Open Rule Induction☆19Updated 2 years ago
- The code and data for our paper (EMNLP 2023 findings) "Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition".☆33Updated 10 months ago
- Repo for outstanding paper@ACL 2023 "Do PLMs Know and Understand Ontological Knowledge?"☆31Updated last year
- ☆31Updated last year
- ☆22Updated 9 months ago
- ☆35Updated 2 years ago
- ☆30Updated last year
- [ACL 23] CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors☆36Updated 2 months ago
- The official implementation of ACL2022``Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks''☆33Updated 2 years ago
- [EMNLP 2023 (Findings)] Schema-adaptable Knowledge Graph Construction☆17Updated last year
- Resources for Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP 2022.☆21Updated 2 years ago
- [EMNLP 2023] C-STS: Conditional Semantic Textual Similarity☆70Updated 11 months ago
- CokeBERT: Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models☆31Updated last year
- This repository implements our EMNLP 2022 research paper A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.☆27Updated 2 years ago
- ☆17Updated 2 years ago
- CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. EMNLP 2022☆31Updated 2 years ago
- ☆17Updated 10 months ago