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Search results for natural language processing xlnet
natural-language-processing
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xlnet
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15 search results found
Awesome Pretrained Chinese Nlp Models
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3,738
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
Texar
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2,008
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow
Keras Textclassification
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1,641
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,FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Chinese Xlnet
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1,633
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
Awesome Bert
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1,630
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
Spacy Transformers
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1,302
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Nlp_xiaojiang
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1,129
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(Senten 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
Awesome Transformer Nlp
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1,022
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Transformers4rec
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974
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Bert Multi Label Text Classification
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761
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Texar Pytorch
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711
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Gector
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680
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Xlnet Pytorch
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475
Simple XLNet implementation with Pytorch Wrapper
Adaptnlp
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371
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Embedding As Service
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182
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Annotated Ml Papers
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178
Annotations of the interesting ML papers I read
Keras Xlnet
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165
Implementation of XLNet that can load pretrained checkpoints
Xlnet_extension_tf
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112
XLNet Extension in TensorFlow
Hpsg Neural Parser
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62
Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
Oreilly Hands On Transformers
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37
Hands on NLP and Computer Vision with Transformers
Amazon Ml Challenge2021
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28
Scripts and Approach for Amazon ML Challenge
Distilkobilstm
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17
Distilling Task-Specific Knowledge from Teacher Model into BiLSTM
Text Summarizer
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16
Comparing state of the art models for text summary generation
Nlp Paper
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16
🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
Semeval2022 Task6 Sarcasm Detection
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11
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.
Text_summarization
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7
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Amazon Fine Food Reviews
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6
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
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