SupritiVijay / NERDA-ConLinks
Extending NERDA Library for Continual Learning
☆11Updated last year
Alternatives and similar repositories for NERDA-Con
Users that are interested in NERDA-Con are comparing it to the libraries listed below
Sorting:
- This repository is the official implementation of our paper MVP: Multi-task Supervised Pre-training for Natural Language Generation.☆73Updated 3 years ago
- [EMNLP2022] Released code for paper "Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition"☆23Updated 2 years ago
- ☆11Updated last year
- Data Augmentation for Intent Classification with Off-the-Shelf Large Language Models is a ServiceNow Research project☆31Updated 2 years ago
- PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models☆110Updated 3 years ago
- PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxi…☆107Updated last year
- ☆13Updated last year
- Code for paper: A Neural Span-Based Continual Named Entity Recognition Model☆18Updated 2 years ago
- A extension of Transformers library to include T5ForSequenceClassification class.☆40Updated 2 years ago
- ☆47Updated last week
- ☆18Updated 4 years ago
- Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition [ACL 2022 Findings]☆45Updated 2 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 4 years ago
- [COLING'22] Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".☆61Updated 2 years ago
- The official implementation of "Distilling Relation Embeddings from Pre-trained Language Models, EMNLP 2021 main conference", a high-qual…☆47Updated last year
- [EMNLP 2021] Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification☆131Updated 2 years ago
- This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Sh…☆133Updated 2 years ago
- [ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"☆40Updated last year
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆21Updated 3 years ago
- Code repo for EMNLP21 paper "Zero-Shot Information Extraction as a Unified Text-to-Triple Translation"☆108Updated last year
- This is a simple implementation of how to leverage a Language Model for a prompt-based learning model☆45Updated 3 years ago
- [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding☆69Updated 3 years ago
- ACL 2023 (Findings) - BertNet: Harvesting Knowledge Graphs from Pretrained Language Models☆107Updated last year
- ☆27Updated 3 years ago
- 🩺 A collection of ChatGPT evaluation reports on various bechmarks.☆50Updated 2 years ago
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆54Updated last year
- Code for ACL 2023 paper "Learning 'O' Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER"☆11Updated 2 years ago
- ☆52Updated 4 years ago
- A Framework for Textual Entailment based Zero Shot text classification☆153Updated last year
- The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Gen…☆64Updated 2 years ago