Repository to show how NLP can tacke real problem. Including the source code, dataset, state-of-the art in NLP
Section |
Sub-Section |
Description |
Link |
Spell Checking |
Lexicon-based |
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Section |
Sub-Section |
Description |
Link |
Pattern-based Recognition |
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Medium |
Lexicon-based Recognition |
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Medium |
Named Entity Recognition (NER) |
Pre-trained NER |
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Medium Github |
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Custom NER |
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Section |
Sub-Section |
Description |
Link |
Extractive Approach |
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Medium Github |
Abstractive Approach |
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Section |
Sub-Section |
Description |
Link |
Euclidean Distance, Cosine Similarity and Jaccard Similarity |
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Medium Github |
Edit Distance |
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Medium Github |
Word Moving Distance (WMD) |
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Medium Github |
Section |
Sub-Section |
Description |
Link |
Traditional Method |
Bag-of-words (BoW) |
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Medium Github |
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Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) |
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Medium Github |
Character Level |
Character Embedding |
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Medium Github |
Word Level |
Negative Sampling and Hierarchical Softmax |
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Word2Vec, GloVe, fastText |
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Medium Github |
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Contextualized Word Vectors (CoVe) |
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Medium Github |
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Embeddings from Language Models (ELMo) |
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Medium Github |
Sentence Level |
Skip-thoughts |
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Medium Github |
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InferSent |
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Medium Github |
Document Level |
lda2vec |
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Medium |
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doc2vec |
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Section |
Sub-Section |
Description |
Link |
Using Deep Learning can resolve all problem? |
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Medium Kaggle |
Section |
Sub-Section |
Description |
Link |
Spellcheck |
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Github |
InferSent |
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Github |