Baidu open-sources NLP model it claims achieves state-of-the-art results in Chinese language tasks
Baidu, the Beijing conglomerate behind the eponymous Chinese search engine, invests heavily in natural language processing (NLP) research. In October, it debuted an AI model capable of beginning a translation just a few seconds into a speaker’s speech and finishing seconds after the end of a sentence, and in 2016 and 2017, it launched SwiftScribe, a web app powered by its DeepSpeech platform, and TalkType, a dictation-centric Android keyboard.
Building on that and other previous work, Baidu this week detailed ERNIE (Enhanced Representation through kNowledge IntEgration), a natural language model based on its PaddlePaddle deep learning platform. The company claims it achieves “high accuracy” on a range of language processing tasks, including natural language inference, semantic similarity, named entity recognition, sentiment analysis, and question-answer matching, and that it’s state-of-the-art with respect to Chinese language understanding.
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