714428593

714428593's Stars

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python23.8k1634258.1k

• 649453932/Chinese-Text-Classification-Pytorch

  中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

  Language:Python5.4k351171.2k

• 649453932/Bert-Chinese-Text-Classification-Pytorch

  使用Bert，ERNIE，进行中文文本分类

  Language:Python4.1k20194904

• shenweichen/GraphEmbedding

  Implementation and experiments of graph embedding algorithms.

  Language:Python3.8k64661k

• zhpmatrix/nlp-competitions-list-review

  复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

  2.7k1177420

• zlsdu/Word-Embedding

  Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding

  Language:Python652166185

• xiaoqian19940510/text-classification-surveys

  文本分类资源汇总，包括深度学习文本分类模型，如SpanBERT、ALBERT、RoBerta、Xlnet、MT-DNN、BERT、TextGCN、MGAN、TextCapsule、SGNN、SGM、LEAM、ULMFiT、DGCNN、ELMo、RAM、DeepMoji、IAN、DPCNN、TopicRNN、LSTMN 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Paragraph-Vec、TextCNN、DCNN、RNTN、MV-RNN、RAE等，浅层学习模型，如LightGBM 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集，如MR、SST、MPQA、IMDB、Yelp、20NG、AG、R8、DBpedia、Ohsumed、SQuAD、SNLI、MNLI、MSRP、MRDA、RCV1、AAPD，评价指标，如accuracy、Precision、Recall、F1、EM、MRR、HL、Micro-F1、Macro-F1、P@K，和技术挑战，包括多标签文本分类。

  Language:Python604172105

• CLUEbenchmark/FewCLUE

  FewCLUE 小样本学习测评基准，中文版

  Language:Python502121473

• yxuansu/SimCTG

  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

  Language:Python46892640

• gaohongkui/GlobalPointer_pytorch

  全局指针统一处理嵌套与非嵌套NER的Pytorch实现

  Language:Python38523147

• ha-lins/MetaLearning4NLP-Papers

  A list of recent papers about Meta / few-shot learning methods applied in NLP areas.

  23110023

• liuyukid/transformers-ner

  Pytorch-Named-Entity-Recognition-with-transformers

  Language:Python20821944

• hemingkx/WordSeg

  A PyTorch implementation of a BiLSTM \ BERT \ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .

  Language:Python20611642

• F-debug/Medical-named-entity-recognition

  本项目是针对医疗数据，进行命名实体识别。项目中有600份标注好的电子病历文本，共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。

  Language:Python1497547

• hy-struggle/ccks_ner

  ccks2020 NER competitions

  Language:Jupyter Notebook1151529

• rtmaww/EntLM

  Codes for "Template-free Prompt Tuning for Few-shot NER".

  Language:Python11522010

• shibing624/nerpy

  🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具，支持BertSoftmax、BertSpan等模型，开箱即用。

  Language:Python1154816

• FutureForMe/Chinese_Medical_Natural_Language_Processing_Resources_and_Papers

  各大顶会医疗领域NLP论文与资源。NLP papers and resources in the medical field.

  1056114

• diyiy/ACL2022_Limited_Data_Learning_Tutorial

  931024

• NJUNLP/GTS

  Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.

  Language:Python8872026

• kefirski/pytorch_Highway

  Highway network implemented in pytorch

  Language:Python827215

• leftthomas/Restormer

  A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"

  Language:Python733614

• JavaStudenttwo/BERT_MRC

  NER任务SOTA模型BERT_MRC

  Language:Python603416

• BetterBench/2021-Daguan-Cup

  Language:Python39106

• yiren-jian/LM-SupCon

  [NAACL 2022] Contrastive Learning for Prompt-based Few-shot Language Learners

  Language:Python22201

• ROGERDJQ/FastABSA

  FastNLP Implementation of several ABSA subtasks and models also can be found in https://gitee.com/ROGERDJQ/FastABSA.git.

  Language:Python17205

• NLPBLCU/Paper_Reading

  12305

• suolyer/NER_DEMO

  中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。

  Language:Python5001

• LawsonAbs/opinion_extract

  opinion extract

  Language:Python310

• gnkitaa/MetaLearningForNLP

  Language:Python1100