标签：sha inception ids eth The clu between cti abs
Awesome-Repositories-for-Text-Modeling
| repo | paper |
|---|---|
| miracleyoo/DPCNN-TextCNN-Pytorch-Inception | Deep Pyramid Convolutional Neural Networks for Text Categorization |
| Cheneng/DPCNN | Deep Pyramid Convolutional Neural Networks for Text Categorization |
| conv-RNN | A Hybrid Framework for Text Modeling with Convolutional RNN |
| AC-LSTM | |
| - FastText;- BasicCNN (KimCNN,MultiLayerCNN, Multi-perspective CNN);- InceptionCNN;- LSTM (BILSTM, StackLSTM);- LSTM with Attention (Self Attention / Quantum Attention);- Hybrids between CNN and RNN (RCNN, C-LSTM);- Transformer - Attention is all you need;- ConS2S;- Capsule;- Quantum-inspired NN | |
| Double ConvNet;C-LSTM | |
| CNN | Convolutional Neural Networks for Sentence Classification |
| CNN, RNN (LSTM and GRU) | |
| fastText;TextCNN;TextRNN;RCNN;Hierarchical Attention Network;seq2seq with attention;Transformer("Attend Is All You Need");Dynamic Memory Network;EntityNetwork:tracking state of the world; | |
| JerrikEph/Capsule4TextClassification | Information Aggregation via Dynamic Routing for Sequence Encoding |
| SVM | Short Text Classification with One Model for All Languages |
| VDCNN | Very Deep Convolutional Neural Network for Text Classification |
| Sent2Vec (Skip-Thoughts) | |
| Dialogue act tagging classification. | Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks |
| Universal Language Model Fine-tuning (ULMFiT) | Universal Language Model Fine-tuning for Text Classification |
| cvangysel/SERT | Structural Regularities in Text-based Entity Vector Spaces |
| klout/opendata | Actionable and Political Text Classification using Word Embeddings and LSTM |
| jacoxu/STC2 | Self-Taught Convolutional Neural Networks for Short Text Clustering |
| guoyinwang/LEAM | Joint Embedding of Words and Labels for Text Classification |
| abhyudaynj/LSTM-CRF-models | Structured prediction models for RNN based sequence labeling in clinical text |
| A Context-aware Natural Language Generator for Dialogue Systems | UFAL-DSG/tgen |
| hugochan/KATE | KATE: K-Competitive Autoencoder for Text |
| harvardnlp/sa-vae | Improved Variational Autoencoders for Text Modeling using Dilated Convolutions |
| sordonia/hred-qs | A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion |
| lanwuwei/SPM_toolkit | Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering |
| salesforce/awd-lstm-lm | |
| cyvius96/adgpm | Rethinking Knowledge Graph Propagation for Zero-Shot Learning |
| alexandres/lexvec | Enhancing the LexVec Distributed Word Representation Model UsingPositional Contexts and External Memory |
| brmson/dataset-sts | Sentence Pair Scoring: Towards Unified Framework for Text Comprehension |
| summanlp/textrank | Variations of the Similarity Function of TextRank for Automated Summarization |
| yufengm/SelfAttentive:binary | A Structured Self-Attentive Sentence Embedding |
| ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding:multi-class | A Structured Self-Attentive Sentence Embedding |
| pandeykartikey/Hierarchical-Attention-Network | Hierarchical Attention Networks for Document Classification |
标签：sha inception ids eth The clu between cti abs
原文地址：https://www.cnblogs.com/d0main/p/9462954.html
