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absa-bert-pair

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)

absa-datasets

Datasets for Aspect-Based Sentiment Analysis and codes for reading them.

absa_devsplits

Train, Test and Dev Splits for our AAAI'18 Paper

ac-mimlln

[EMNLP 2020] Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis

acos

The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

acsa

Papers, models and datasets for Aspect-Category Sentiment Analysis.

acsa-sspl

[CCL2020] A Joint Model for Aspect-Category Sentiment Analysis with Shared Sentiment Prediction Layer

algorithm-apriori

Apriori算法的实现

algorithm-general

常见算法实现

algorithm-stringmatching

字符串匹配算法

algorithms-huffman

哈夫曼编码解码算法的实现

alpaca-lora

Instruct-tune LLaMA on consumer hardware

alpaca-rlhf

Finetuning LLaMA with RLHF (Reinforcement Learning with Human Feedback) based on DeepSpeed Chat

asmote

[NLPCC 2021] Aspect-Sentiment-Multiple-Opinion Triplet Extraction

asote

Aspect-Sentiment-Opinion Triplet Extraction (ASOTE)

aspect-category-detection-model

Aspect-Based Sentiment Analysis

attention

some attention implements

attention_rnn_for_textsum

This is to reproduce article <A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION>

avazu-click-through-rate-prediction

https://www.kaggle.com/c/avazu-ctr-prediction

bag-of-words-meets-bags-of-popcorn

bag-of-words-meets-bags-of-popcorn

benchmark

berkeleylm

berkeleylm1.1.6

bert_classification

利用bert预训练的中文模型进行文本分类 数据集中文情感分析语料chnsenticorp

bmrc

causalml

Uplift modeling and causal inference with machine learning algorithms

cec-corpus

:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chatalpaca

A Multi-Turn Dialogue Corpus based on Alpaca Instructions

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chatgpt-evaluation-01-2023

Code, datasets and results of the ChatGPT evaluation presented in paper "ChatGPT: Jack of all trades, master of none"