Discover YJiangcm/argument-impact-classification Open Source project

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Python
License
MIT License
Created over 3 years ago
Updated over 1 year ago

YJiangcm

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Further research on the paper "The Role of Pragmatic and Discourse Context in Determining Argument Impact"

Lion

Code for "Lion: Adversarial Distillation of Proprietary Large Language Models (EMNLP 2023)"

Python

159

PromCSE

Code for "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning (EMNLP 2022)"

Python

115

Chinese-sentence-pair-modeling

Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCNLI, CMNLI

Jupyter Notebook

FollowBench

Code for "FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models (ACL 2024)"

Python

SST-2-sentiment-analysis

Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch

Jupyter Notebook

Movielens1M-movie-recommendation-system

使用MovieLens数据集实现了基于Auto Encoder(AE), Variational Auto Encoder(VAE), BERT的深度学习电影推荐系统

Jupyter Notebook

improved_DeepLOB

This repo contains my reimplementation and improvement of DeepLOB model.

Jupyter Notebook

GOLF_for_IDRR

Code for "Global and Local Hierarchy-aware Contrastive Framework for Hierarchical Implicit Discourse Relation Recognition (ACL 2023)"

Python

deep-learning-tutorial

a deep learning tutorial containing FNN, CNN, RNN, XAI, VAE, GAN, etc.

Jupyter Notebook

Debate-alpaca-lora

Instruct-tune LLaMA on debate data; Light-weight DebateGPT

COMP_5222_Project

This is the repository of COMP 5222 group project, our group number is 13.

Python

XAI_in_NLP

Jupyter Notebook

MSBD-5003-project

parallel implementation of hierarchical clustering algorithm based on pyspark

HTML

MSBD_5001_kaggle

Containing the data and codes for MSBD_5001_kaggle_competition

Jupyter Notebook

algorithms-python

使用python编写的部分算法题目整理

YJiangcm/argument-impact-classification

YJiangcm

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