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Paper, Course, Code, Book, Website, Article, Case, etc.
Data, Embedding, Tool, Practice.
TFIDF, TextRank, AP Clustering, etc.
Vocabulary, OOV, Segmentation, Dependency Parsing, Small Data, New Word, Disambiguation, etc.
NGram, BoW, NNLM, Char-level Model, etc.
Models: Word2Vec, GloVe, Char-level Embedding, Ngram2Vec, Sentence2Vec, Doc2Vec, Paragraph2Vec, StarSpace, Item2Vec, Node2Vec, Wiki2Vec, Tweet2Vec, etc.
Embeddings Dimensionality Reduction.
Models: EMLo, BERT, GPT1, GPT2, ULMFit, Flair, ERNIE, CoVe, XLM, XLNet, etc.
Models: Seq2Seq, Encoder-Decoder, Attention, HAN, LuongAttention, Transformer, Transformer-XL, etc.
Transfer Learning, Multi-task Learning.
Overview: 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:
Overview: Paper, Code, Practice, Article, etc.
Overview: Paper, Tool, Practice, Competition
Overview: Paper, Code, Article, Book, etc.
Models: MatchZoo, ESIM, ABCNN, etc.
Overview: Article, Competition, Practice
Models: Deep Learning Papers
Overview: Paper, Practice, etc.
Models: BiLSTMTextRelation, twoCNNTextRelation, BiLSTMTextRelationTwoRNN, etc.
Overview: Papaer, Code, Competition, etc.
Models: Representation Learning, Entity Extraction, Relation Extraction, End-to-end, etc.
Overview: Paper, Practice, Competition, Article, etc.
Models: Deep Learning models, Topic Model, Rule
Overview: Article
Models: HMM&CRF, RNN, RNN+CRF, CNN, etc.
Models: MEM, RNN, RNN+CRF, etc.
Overview: Paper
Overivew: Paper, Data, Competition
Models: Memory Network, R-NET, Recurrent Entity Network, etc.
Overview: Paper, Practice, Competition
Overview: Competition, Image Captioning, etc.
Law: Paper, Practice, etc.
etc.
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