开源软件名称:roadmap_nlp
开源软件地址:https://gitee.com/liuyaox/roadmap_nlp
开源软件介绍:
Roadmap for NLPOVERVIEW
1. NLP OverviewPaper, Course, Code, Book, Website, Article, Case, etc. 2. Corpus, Data and ToolData, Embedding, Tool, Practice. 3. Traditional MethodTFIDF, TextRank, AP Clustering, etc. 4. Basic ProblemVocabulary, OOV, Segmentation, Dependency Parsing, Small Data, New Word, Disambiguation, etc. THEORY
5. Language ModelNGram, BoW, NNLM, Char-level Model, etc. 6. EmbeddingModels: Word2Vec, GloVe, Char-level Embedding, Ngram2Vec, Sentence2Vec, Doc2Vec, Paragraph2Vec, StarSpace, Item2Vec, Node2Vec, Wiki2Vec, Tweet2Vec, etc. Embeddings Dimensionality Reduction. 7. Pretrained ModelModels: EMLo, BERT, GPT1, GPT2, ULMFit, Flair, ERNIE, CoVe, XLM, XLNet, etc. 8. Seq2Seq, Attention and TransformerModels: Seq2Seq, Encoder-Decoder, Attention, HAN, LuongAttention, Transformer, Transformer-XL, etc. 9. Transfer Learning and Multi-task LearningTransfer Learning, Multi-task Learning. APPLICATION
10. Text ClassificationOverview: Paper, Code, Practice, Competition, Article, Library, Multi-label Classification Models: FastText, TextCNN, TextRNN, TextRCNN, VDCNN, DRNN, DPCNN, multiChannelCNN, DeepCNN, LSTM-CNN, Tree-LSTM, etc. Traditional Method: 11. Text ClusteringOverview: Paper, Code, Practice, Article, etc. 12. Text SimilarityOverview: Paper, Tool, Practice, Competition 13. Text Matching and EntailmentOverview: Paper, Code, Article, Book, etc. Models: MatchZoo, ESIM, ABCNN, etc. 14. Text SummaryOverview: Article, Competition, Practice Models: Deep Learning Papers 15. Pairwise InputOverview: Paper, Practice, etc. Models: BiLSTMTextRelation, twoCNNTextRelation, BiLSTMTextRelationTwoRNN, etc. 16. Knowledge GraphOverview: Papaer, Code, Competition, etc. Models: Representation Learning, Entity Extraction, Relation Extraction, End-to-end, etc. 17. Sentiment AnalysisOverview: Paper, Practice, Competition, Article, etc. Models: Deep Learning models, Topic Model, Rule 18. Named Entity Recognition (NER)Overview: Article Models: HMM&CRF, RNN, RNN+CRF, CNN, etc. 19. Part-of-Speech Tagging (POS)Models: MEM, RNN, RNN+CRF, etc. 20. Machine TranslationOverview: Paper 21. Machine ComprehensionOverivew: Paper, Data, Competition Models: Memory Network, R-NET, Recurrent Entity Network, etc. 22. Dialogue SystemsOverview: Paper, Practice, Competition 23. NLP with ImageOverview: Competition, Image Captioning, etc. 24. Other ApplicationLaw: Paper, Practice, etc. 25. Engineering and Tricksetc. |
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