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FastText.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski +3
We consider the problem of producing compact architectures for text classification, such that the full model fits in a limited amount of memory. After considering different solutio…
Variable Computation in Recurrent Neural Networks
Yacine Jernite, Edouard Grave, Armand Joulin +1
Recurrent neural networks (RNNs) have been used extensively and with increasing success to model various types of sequential data. Much of this progress has been achieved through d…
Bag of Tricks for Efficient Text Classification
Armand Joulin, Edouard Grave, Piotr Bojanowski +1
This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifi…
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin +1
Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore the…