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- ๐๐: ้่ฆ๏ผ
- ๐๐๐: ้ๅธธ้่ฆใ
่ฏๆฏ่ฝๅค็ฌ็ซๆดปๅจ็ๆๅฐ่ฏญ่จๅไฝใ ๅจ่ช็ถ่ฏญ่จๅค็ไธญ๏ผ้ๅธธ้ฝๆฏไปฅ่ฏไฝไธบๅบๆฌๅไฝ่ฟ่กๅค็็ใ็ฑไบ่ฑๆๆฌ่บซๅ ทๆๅคฉ็็ไผๅฟ๏ผไปฅ็ฉบๆ ผๅๅๆๆ่ฏใ่ไธญๆ็่ฏไธ่ฏไน้ดๆฒกๆๆๆพ็ๅๅฒๆ ่ฎฐ๏ผๆไปฅๅจๅไธญๆ่ฏญ่จๅค็ๅ็้ฆ่ฆไปปๅก๏ผๅฐฑๆฏๆ่ฟ็ปญไธญๆๅฅๅญๅๅฒๆใ่ฏๅบๅใใ่ฟไธชๅๅฒ็่ฟ็จๅฐฑๅซๅ่ฏใไบ่งฃๆดๅค
- ๆฑ่ฏญๅ่ฏๆๆฏ็ปผ่ฟฐ {Paper} ๐
- ๅฝๅ ไธญๆ่ชๅจๅ่ฏๆๆฏ็ ็ฉถ็ปผ่ฟฐ {Paper} ๐
- ๆฑ่ฏญ่ชๅจๅ่ฏ็็ ็ฉถ็ฐ็ถไธๅฐ้พ {Paper} ๐๐
- ๆฑ่ฏญ่ชๅจๅ่ฏ็ ็ฉถ่ฏ่ฟฐ {Paper} ๐๐
- ไธญๆๅ่ฏๅๅนดๅๅ้กพ: 2007-2017 {Paper} ๐๐๐
- chinese-word-segmentation {Code}
- ๆทฑๅบฆๅญฆไน ไธญๆๅ่ฏ่ฐ็ {Blog}
่ฏๅตๅ ฅๅฐฑๆฏๆพๅฐไธไธชๆ ๅฐๆ่ ๅฝๆฐ๏ผ็ๆๅจไธไธชๆฐ็็ฉบ้ดไธ็่กจ็คบ๏ผ่ฏฅ่กจ็คบ่ขซ็งฐไธบใๅ่ฏ่กจ็คบใใไบ่งฃๆดๅค
- Word Embeddings: A Survey {Paper} ๐๐๐
- Visualizing Attention in Transformer-Based Language Representation Models {Paper} ๐๐
- PTMs: Pre-trained Models for Natural Language Processing: A Survey {Paper} {Blog} ๐๐๐
- Efficient Transformers: A Survey {Paper} ๐๐
- A Survey of Transformers {Paper} ๐๐
- Pre-Trained Models: Past, Present and Future {Paper} ๐๐
- Pretrained Language Models for Text Generation: A Survey {Paper} ๐
- A Practical Survey on Faster and Lighter Transformers {Paper} ๐
- The NLP Cookbook: Modern Recipes for Transformer based Deep Learning Architectures {Paper} ๐๐
- NNLM: A Neural Probabilistic Language Model {Paper} {Code} {Blog} ๐
- W2V: Efficient Estimation of Word Representations in Vector Space {Paper} ๐๐
- Glove: Global Vectors for Word Representation {Paper} ๐๐
- CharCNN: Character-level Convolutional Networks for Text Classification {Paper} {Blog} ๐
- ULMFiT: Universal Language Model Fine-tuning for Text Classification {Paper} ๐
- SiATL: An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models {Paper} ๐
- FastText: Bag of Tricks for Efficient Text Classification {Paper} ๐๐
- CoVe: Learned in Translation: Contextualized Word Vectors {Paper} ๐
- ELMo: Deep contextualized word representations {Paper} ๐๐
- Transformer: Attention is All you Need {Paper} {Code} {Blog} ๐๐๐
- GPT: Improving Language Understanding by Generative Pre-Training {Paper} ๐
- GPT2: Language Models are Unsupervised Multitask Learners {Paper} {Code} {Blog} ๐๐
- GPT3: Language Models are Few-Shot Learners {Paper} {Code} ๐๐๐
- GPT4: GPT-4 Technical Report {Paper} ๐๐๐
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding {Paper} {Code} {Blog} ๐๐๐
- UniLM: Unified Language Model Pre-training for Natural Language Understanding and Generation {Paper} {Code} {Blog} ๐๐
- T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer {Paper} {Code} {Blog} ๐
- ERNIE(Baidu): Enhanced Representation through Knowledge Integration {Paper} {Code} ๐
- ERNIE(Tsinghua): Enhanced Language Representation with Informative Entities {Paper} {Code} ๐
- RoBERTa: A Robustly Optimized BERT Pretraining Approach {Paper} ๐
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations {Paper} {Code} ๐๐
- TinyBERT: Distilling BERT for Natural Language Understanding {Paper} ๐๐
- FastFormers: Highly Efficient Transformer Models for Natural Language Understanding {Paper} {Code} ๐๐
- word2vec Parameter Learning Explained {Paper} ๐๐
- Semi-supervised Sequence Learning {Paper} ๐๐
- BERT Rediscovers the Classical NLP Pipeline {Paper} ๐
- Pre-trained Languge Model Papers {Blog}
- HuggingFace Transformers {Code}
- Fudan FastNLP {Code}
- A Survey on Text Classification: From Shallow to Deep Learning {Paper} ๐๐๐
- Deep Learning Based Text Classification: A Comprehensive Review {Paper} ๐๐
- TextCNN:Convolutional Neural Networks for Sentence Classification {Paper} {Code} ๐๐๐
- Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level {Paper} ๐
- DPCNN: Deep Pyramid Convolutional Neural Networks for Text Categorization {Paper} {Code} ๐๐
- Sequence Labeling ็ๅๅฑๅฒ๏ผDNNs+CRF๏ผ{Blog}
-
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF {Paper} ๐๐
-
pytorch_NER_BiLSTM_CNN_CRF {Code}
-
NN_NER_tensorFlow {Code}
-
End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial {Code}
-
Bi-directional LSTM-CNNs-CRF {Code}
- Sequence to Sequence Learning with Neural Networks {Paper} ๐
- Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks {Paper} ๐
- A Survey on Dialogue Systems: Recent Advances and New Frontiers {Paper} {Blog} ๐๐
- ๅฐๅฅๅฅ๏ผๆฃ็ดขๅผchatbotไบ่งฃไธไธ๏ผ {Blog} ๐๐๐
- Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey {Paper} ๐๐
- HERD: Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models {Paper} {Code} ๐๐
- Adversarial Learning for Neural Dialogue Generation {Paper} {Code} {Blog} ๐๐
- Joint NLU: Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling {Paper} {Code} ๐๐
- BERT for Joint Intent Classification and Slot Filling {Paper} ๐
- Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures {Paper} {Code} ๐๐
- Attention with Intention for a Neural Network Conversation Model {Paper} ๐
- REDP: Few-Shot Generalization Across Dialogue Tasks {Paper} {Blog} ๐๐
- TEDP: Dialogue Transformers {Paper} {Code} {Blog} ๐๐๐
- Multi-view Response Selection for Human-Computer Conversation {Paper} ๐๐
- SMN: Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots {Paper} {Code} {Blog} ๐๐๐:
- DUA: Modeling Multi-turn Conversation with Deep Utterance Aggregation {Paper} {Code} {Blog} ๐๐
- DAM: Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network {Paper} {Code} {Blog} ๐๐๐
- IMN: Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots {Paper} {Code} {Blog} ๐๐
- Dialogue Transformers {Paper} ๐๐
- Towards a Definition of Knowledge Graphs {Paper} ๐๐๐
- PPP: Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing {Paper} {Blog} ๐๐๐
- Graph Neural Networks for Natural Language Processing: A Survey {Paper} ๐๐
- InferSent: Supervised Learning of Universal Sentence Representations from Natural Language Inference Data {Paper} {Code} ๐๐
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks {Paper} {Code} ๐๐๐
- BERT-flow: On the Sentence Embeddings from Pre-trained Language Models {Paper} {Code} {Blog} ๐๐
- SimCSE: Simple Contrastive Learning of Sentence Embeddings {Paper} {Code} ๐๐๐