Facebook reveals DeepText neural network-powered deep learning engine

Facebook has unveiled DeepText, a deep learning-based text comprehension engine that uses neural networks to understand the context of posts in over 20 languages. DeepText uses several deep learning neural network architectures, as well as its artificial intelligence (AI) backbone FBLearner Flow and the Torch open source machine learning library, to perform word-level and character-based learning. The system can understand slang and make sense of potentially ambiguous phrases. For example, if a Facebook user posts the phrase ‘I like apple’ DeepText can work out whether it refers to the fruit or Apple. Facebook had to go beyond normal neuro-linguistic programming (NLP) techniques with DeepText, as the extensive pre-processing logic built on top of intricate software engineering and language knowledge is ineffective at picking up variations in languages and spelling when…


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