awyys Goto Github PK

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"

denseclip

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

dm

edge-oriented-graph

Source code for the EMNLP 2019 paper: "Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs"

entity-relation-joint-extraction

汇总实体关系联合抽取方向的代码。

entityrelationextraction

实体关系抽取pipline方式，使用了BiLSTM+CRF+BERT

fewvlm

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models (ACL 2022)

fine_tuning_bert_for_joint_entity_and_relation_extraction_in_chinese_medical_text

kgpool

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

kindred

A Python biomedical relation extraction package that uses a supervised approach (i.e. needs training data).

knowledgeableprompttuning

kpt code

knowprompt

Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction"

multiheadjointentityrelationextraction_simple

实体关系抽取，使用了百度比赛的数据集。使用pytorch实现MultiHeadJointEntityRelationExtraction，包含Bert、Albert、gru的使用，并且添加了对抗训练。最后使用Flask和Neo4j图数据库对模型进行了部署

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"

prgc

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

prompt-align

Prompt-aligned Gradient for Prompt Tuning

prompt-bert

Prompt-BERT: Prompt makes BERT Better at Sentence Embeddings

prompt-tuning

A pipeline for Prompt-tuning

prompt-tuning-1

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

promptkg

PromptKG: A Prompt Learning Framework for Knowledge Graph  with Pre-trained Language Models

promptsource

Toolkit for creating, sharing and using natural language prompts.