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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
all kinds of text classification models and more with deep learning
Convolutional Neural Network for Text Classification in Tensorflow
keras implement of transformers for humans
CNN-RNN中文文本分类,基于TensorFlow
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
A neural network model for Chinese named entity recognition
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
近年来事件抽取方法总结,包括中文事件抽取、开放域事件抽取、事件数据生成、跨语言事件抽取、小样本事件抽取、零样本事件抽取等类型,DMCNN、FramNet、DLRNN、DBRNN、GCN、DAG-GRU、JMEE、PLMEE等方法
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
Pytorch Solution of Event Extraction Task using BERT on ACE 2005 corpus
some baselines for lic2020 (http://lic2020.cipsc.org.cn/)
Text classification using different neural networks (CNN, LSTM, Bi-LSTM, C-LSTM).
源码实现:《TensorFlow实战》黄文坚,唐源 著
The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction
Source code and dataset for EMNLP 2020 paper "MAVEN: A Massive General Domain Event Detection Dataset".
Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)
bidirectional rnn for text classification
该源码是北京大学公开课TensorFlow1.x的网课中源码的汇总,也包括了网课中小组成员的实战项目源码
Code for EMNLP 2019 paper "Learning to Update Knowledge Graphs by Reading News"