xlnet
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A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
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Oct 22, 2020 - Python
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow
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Sep 17, 2020 - Python
State of the Art Natural Language Processing
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Oct 29, 2020 - Scala
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
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Oct 23, 2019
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
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Oct 20, 2020 - Python
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Oct 27, 2020 - Python
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用
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Oct 26, 2020 - Python
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
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Aug 26, 2020 - Python
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation
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Oct 27, 2020 - Python
Simple XLNet implementation with Pytorch Wrapper
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Jul 3, 2019 - Jupyter Notebook
A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
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Oct 14, 2020
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
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Jul 31, 2020 - Python
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
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Oct 19, 2020 - Python
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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Oct 12, 2020 - Jupyter Notebook
中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large
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Sep 13, 2019 - Python
Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf
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Aug 9, 2020 - Python
XLNet for generating language.
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Jul 27, 2019 - Python
Implementation of XLNet that can load pretrained checkpoints
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Nov 5, 2019 - Python
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
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Sep 30, 2020 - Python
XLNet Extension in TensorFlow
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Oct 21, 2020 - Python
Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
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Feb 17, 2020 - Python
Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark
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Sep 25, 2020 - Python
Generating responses with pretrained XLNet and GPT-2 in PyTorch.
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Oct 18, 2020 - Python
All other language models do not perform as well as HappyROBERTA large for masked word prediction. We should encourage users to use HappyROBERTA Large by displaying a logger message if they use a suboptimal language model. This message will encourage them to use HappyROBERTA Large.
There are still some situations where a user may want to use another model, so we will keep them available.
XLNet: Generalized Autoregressive Pretraining for Language Understanding 论文的中文翻译 Paper Chinese Translation!
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Oct 11, 2019
Tensorflow solution of NER task Using BiLSTM-CRF model with CMU/Google XLNet
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Oct 23, 2019 - Python
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
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May 7, 2020 - Jupyter Notebook
AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
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Oct 23, 2020 - Python
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This is a documentation request in order to make it easier to find corresponding examples in the documentation.
Good first issue if you want to get acquainted with the docs and how to build docs using Sphinx!
Current issue
Here's the issue: currently, if one goes to an older documentation version to check the "examples" page, for example, [v2.6.0](https://huggin