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IanGrimstead edited this page Mar 6, 2019
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Welcome to the nlp_club wiki!
- NLP-progress: Tracking Progress in Natural Language Processing
- Modern Deep Learning Techniques Applied to Natural Language Processing (hosted on GitHub)
- An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
- Beyond word2vec: GloVe, fastText, StarSpace - Konstantinos Perifanos
- Learning Semantic-based Structures from Textual Sources" Dr. Marco Gori (WEBIST 2017)
- word2vec Parameter Learning Explained (helper to understand word2vec)
- From Word Embeddings To Document Distances (Word Mover's Distance)
- GloVe: Global Vectors for Word Representation (glove)
- word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method (helper to understand word2vec)
- Efficient Estimation of Word Representations in Vector Space (word2vec; CBOW & skipgram)