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Paper (by year)
E-V-Brown edited this page Jun 26, 2019
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- Understanding Convolutional Neural Networks for Text Classification
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- An LSTM Approach to Short Text Sentiment Classification with Word Embeddings
- word2vec Parameter Learning Explained (helper to understand word2vec)
- Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec
- 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)
- Distributed Representations of Sentences and Documents (doc2vec)
- Efficient Estimation of Word Representations in Vector Space (word2vec; CBOW & skipgram)