Facebook drives into neural-network-based AI with DeepText

Social networking giant Facebook has released a neural-network-based artificial intelligence tool called DeepText that, it claims, can understand the context of people’s online posts in more than 20 languages. The backbone of the software is the FBLearner Flow and the Torch open-source machine learning library to perform word-level and character-based learning. Related articles According to Facebook, the system can understand slang and make sense of potentially ambiguous phrases. For instance, if a Facebook user posts the phrase ‘I like apple’ DeepText can work out whether it refers to the fruit or the company. Facebook had to go beyond normal neuro-linguistic programming (NLP) techniques with DeepText, it says, as the extensive pre-processing logic built on top of intricate software engineering and language knowledge is ineffective at picking up variations in languages…

Link to Full Article: Facebook drives into neural-network-based AI with DeepText

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