YangdongONE

KnowLM

An Open-sourced Knowledgable Large Language Model Framework.

sutras-book

佛学书籍

ChatGLM3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

ChatGLM2-6B

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

EmoPrompt-ECPE

ST-w-Scorer-ABSA

Released code for「Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction」in ACL2024.

Baichuan2

A series of large language models developed by Baichuan Intelligent Technology

chinese-sarcasm-calculation

欢迎参加中文讽刺计算评测任务！

DocRED

Dataset and codes for ACL 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Re-DocRED

KD-DocRE

Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss

SHARK

[EMNLP 2023] Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge

ds_ner

bert_t5_gpt

Sentiment_Analysis_Imdb

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

SLGM

Shen Zhou, Tieyun Qian: On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. Findings of ACL 2023

Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

llama

Inference code for Llama models

llama-recipes

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

ECPE_data

we annotated the experiencer for emotion cause extraction datasets provided by (Xia and Ding, 2019 ACL)

UIE

Unified Structure Generation for Universal Information Extraction

ECPE

UECA-Prompt

UECA-Prompt: Universal Prompt for Emotion Cause Analysis（COLING 2022）

ASCM4ABSA

**ASCM4ABSA** - Our code and proposed data for NLPCC 2022 paper titled "Aspect-specific Context Modeling for Aspect-based Sentiment Analysis"

EasyNLP

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

atsc_prompts

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

BDTF-ABSA

Released code for「Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction」 in EMNLP2022.

Dual-Contrastive-Learning

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.