Lydia-520

Lydia-520's Stars

• LeiShi3374/ML_LPN

  Language:Python11

• hccngu/MLADA

  Language:Python7111

• dominiksinsaarland/DocSCAN

  Learning from Neighbors: Unsupervised Text Classification

  Language:Python172

• sebischair/Lbl2Vec

  Lbl2Vec learns jointly embedded label, document and word vectors to retrieve documents with predefined topics from an unlabeled document corpus.

  Language:Python17528

• hihey54/acsac22_spacephish

  Repository for the paper "SpacePhish" accepted at ACSAC'22

  Language:HTML66

• waadalhoshan/ZSL4REQ

  Experiments of ZSL Pipeline to classify requirements

  Language:Jupyter Notebook84

• Wattsy2020/closure_learning

  Part of the code for my honours project on semi supervised learning using cloze questions

  Language:Jupyter Notebook3

• timoschick/pet

  This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

  Language:Python1.6k282

• congyingxia/IncrementalFSTC

  Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System. NAACL 2021. https://arxiv.org/abs/2104.11882

  Language:Python206

• 21335732529sky/difference_extractor

  Language:Python11

• shmsw25/Channel-LM-Prompting

  An original implementation of "Noisy Channel Language Model Prompting for Few-Shot Text Classification"

  Language:Python13018

• INK-USC/fewNER

  Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER (ACL 2022)

  Language:Python433

• jixuan-wang/Grad2Task

  Codes for the paper "Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation"

  Language:Python142

• amazon-science/label-aware-pretrain

  Language:Python172

• r-three/t-few

  Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

  Language:Python42459

• alibaba/EasyNLP

  EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

  Language:Python2k250

• cdpierse/transformers-interpret

  Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

  Language:Jupyter Notebook1.3k96

• NbAiLab/notram

  Norwegian Transformer Model

  Language:Shell1136

• UCSB-NLP-Chang/PromptBoosting

  Language:Python154

• UKPLab/emnlp2021-prompt-ft-heuristics

  Language:Python103

• HanNight/AMuLaP

  Code for NAACL 2022 paper "Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification"

  Language:Python252

• facebookresearch/perfect

  PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

  Language:Python10823

• princeton-nlp/LM-BFF

  [ACL 2021] LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723

  Language:Python714132

• sunyilgdx/Prompts4Keras

  Prompt-learning methods used BERT4Keras (PET, EFL and NSP-BERT), both for Chinese and English.

  Language:Python29

• yumeng5/SuperGen

  [NeurIPS 2022] Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

  Language:Python6314

• yuzhimanhua/MICoL

  Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification (WWW'22)

  Language:Python294

• fywalter/simptc

  Code and datasets for EMNLP 2022 paper: Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations

  Language:Jupyter Notebook191

• thunlp/OpenPrompt

  An Open-Source Framework for Prompt-Learning.

  Language:Python4.3k443

• declare-lab/conv-emotion

  This repo contains implementation of different architectures for emotion recognition in conversations.

  Language:Python1.3k331

• PaddlePaddle/PaddleNLP

  👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

  Language:Python12k2.9k