Pinned Repositories
adappDemo
AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
ALPRO
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
attention
some attention implements
autoprompt
AutoPrompt: Automatic Prompt Construction for Masked Language Models.
awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
Channel-LM-Prompting
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
ClinicalTransformerRelationExtraction
A project for developing transformer-based models for clinical relation extraction
CoOp
Prompt Learning for Vision-Language Models
DART
Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"
awyys's Repositories
awyys/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
awyys/ALPRO
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
awyys/autoprompt
AutoPrompt: Automatic Prompt Construction for Masked Language Models.
awyys/awesome-relation-extraction
📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).
awyys/Channel-LM-Prompting
An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"
awyys/ClinicalTransformerRelationExtraction
A project for developing transformer-based models for clinical relation extraction
awyys/CoOp
Prompt Learning for Vision-Language Models
awyys/DART
Code for the ICLR2022 paper "Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners"
awyys/DenseCLIP
[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
awyys/DM
awyys/FewVLM
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)
awyys/KGPool
[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
awyys/kindred
A Python biomedical relation extraction package that uses a supervised approach (i.e. needs training data).
awyys/KnowledgeablePromptTuning
kpt code
awyys/KnowPrompt
Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"
awyys/P-tuning-v2
Source code and data for ACL 2022 paper "P-tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks"
awyys/Prompt-align
Prompt-aligned Gradient for Prompt Tuning
awyys/Prompt-BERT
Prompt-BERT: Prompt makes BERT Better at Sentence Embeddings
awyys/prompt-tuning
A pipeline for Prompt-tuning
awyys/Prompt-Tuning-1
Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"
awyys/prompt_semantics
This repository accompanies our paper “Do Prompt-Based Models Really Understand the Meaning of Their Prompts?”
awyys/PromptKG
PromptKG: A Prompt Learning Framework for Knowledge Graph with Pre-trained Language Models
awyys/promptsource
Toolkit for creating, sharing and using natural language prompts.
awyys/PTR
Prompt Tuning with Rules
awyys/pytorch_bert_relation_extraction
基于pytorch+bert的中文关系抽取
awyys/RelationPrompt
This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.
awyys/RIFRE
Representation Iterative Fusion Based on Heterogeneous Graph Neural Network for Joint Entity and Relation Extraction
awyys/templateNER
Source code for template-based NER
awyys/voice-prompts
Voice prompts
awyys/VQGAN_Prompts
Generates a random prompt for a VQGAN+CLIP