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-lanlaninterview

此仓库将包含各大银行的基本介绍，笔试面试特点，发现这个宝库就离上岸不远了，哼

absa-pytorch

基于方面的情感分析，使用PyTorch实现。Aspect Based Sentiment Analysis, PyTorch Implementations. 。

absa-reading-list

ABSA大集合—Reading list of aspect-based sentiment analysis.

absadatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

analysis

[毕业设计]基于Spark网易云音乐数据分析【1.图计算 2.机器学习预测歌曲分类 3.评论词云 4.评论时间段 5.评论top榜 6.热歌top榜 7.用户性别比例 8.用户星座比例 9.用户年龄比例 10.用户全国地理分布 11.热评搜索等等..】

awesome-relation-extraction

关系抽取 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

biaffinedependencyparsing

双仿注意力+依赖解析——BERT+Self-attention Encoder ; Biaffine Decoder ; Pytorch Implement

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

dualgcn-absa

ABSA________Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis

ecpe

情感原因对提取

ecpe-pytorch

Emotion-Cause Pair Extraction, PyTorch Implementations. 情感-原因对抽取，基于PyTorch实现

eda_nlp

经典数据增强 EDA Data augmentation for NLP, presented at EMNLP 2019

intergcn-absa

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

jinkuang-s-repository

knowprompt

浙大知识提示学习Code and datasets for the WWW2022 paper "KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction."

lowresource-nlp-bootcamp-2020

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

nlpaug

NLP数据增强 Data augmentation for NLP

openprompt

An Open-Source Framework for Prompt-Learning.

p-tuning

小样本提示学习—— Codes and datasets for paper ``GPT understands, too''.

p-tuning-v2

描述如其名（连续模板—P-tuning升级版）An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

plate

yolov5车牌实时监测

pretrained-language-model

华为—哪吒模型等—Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

prompt_learning

提示学习文本分类代码

pyabsa

Sentiment Analysis, Text Classification, Text Augmentation, RNA Sequence Classification, Sequence Regression Model, Text Adversarial defense, etc.; 细粒度情感分析，文本分类，文本增强，RNA分类，序列回归，文本对抗防御等等

pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

text_classifier

该项目是使用TextCNN/TextRNN/TextRCNN/Transformer/Bert的文本分类项目，嵌入层可接入Word2Vec，带有Attention模块，可对抗训练增强，项目基于Tensorflow2.3开发。

tsb_bert_bilstm

谭松波酒店数据LERT

wobert

以词为基本单位的中文BERT

wobert-1

WoBERT Pytorch 版本，中文词汇级Bert：WoBERT学习