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Natural Language Processing and Applications - Coggle Diagram
Natural Language Processing and Applications
Task
POS Tagging
Parsing
Named entity recognition
Coreference Resolution
Sentiment Analysis
BLUE Score
Machine Translation
Question Answering
Reading Comprehension
Text Generation
ROUGE Score
Summarization
Dialogue systems
Perplexity
Language Modelling
Distributed Representation
Word Representation
Co-occurrence Matrix
NNLM
Embedding
Fast text
Glove
Word2Vec
Cost Method
Negative Sampling
Hierarchical Softmax
CBOW
Skip-gram
Word Embedding
Character Embedding
Language Model
Encoder-Decoder Model
Model
Source-Target
OOV Problem Slove
Coping Machanism
Subword Tokenizing based nMT
EM Algorithm
Based likelihood
Word piece Model
Task
Summarization
Machine Translation
Word Representation to Contextual Representation
CoVe
Elmo
2 Layers LSTM
Pretrained for Embedding
State of the art Model
Relative positional encoding
Transformer XL
XLNet
Segment recurrence mechanism
Permutation Language Model
Two-Stream self attention
Content stream
Query stream
Deep Transformer
Open AI GPT
BERT
Masking Language
Next Sentence
CLS
SEP
MASK
Basic
Recurrent Model
Sequential model
Teacher Forcing
Non-Teacher Forcing
n-Gram
Kate-Bakeoff Model
RNN
LSTM
GRU
Cell state
BPTT
Convolutional Model
Kernel Size
TextCNN
DCNN
Kernel Size
Channel
Recursive model
RNTN
Syntactically united RNN
Matrix Vector RNN