On the afternoon of January 13th, two days ago, SQuAD, the top event in the field of machine reading comprehension initiated by Stanford University, set a new ranking. AI's reading ability surpassed humanity for the first time in history. Alibaba said it broke the world record with an accuracy rate of 82.440 and surpassed the human 82.304.
It is reported that the SQuAD competition built a large-scale machine reading comprehension data set (including 100,000 questions), the article comes from more than 500 Wikipedia articles. After reading an essay in the dataset, the AI ​​needs to answer several questions based on the content of the article, and then compare it with the standard answer to get the exact match (Exact Match) and fuzzy match (F1-score) results.
"Our machine reading comprehension accuracy rate exceeds humanity", Alibaba related personnel said that the major breakthrough in this technology stems from the research team's "deep neural network model based on stratified fusion attention mechanism". The model can simulate some behaviors of human beings when doing reading comprehension problems, including combining chapter content examination questions, reading articles repeatedly with questions, avoiding forgetting and observing in reading.
Siro, chief scientist of Alibaba's natural language processing, said that the machine has achieved very good results in solving the objective knowledge of the wiki class, and will continue to move toward the ultimate goal of “understanding and thinking†about universal content. In the future, the focus of R&D is to apply this technology to a wide range of practical scenarios, so that machine intelligence can be used for life. In addition, the natural language processing team also supports the technical needs of Alibaba's entire ecosystem. The AliNLP natural language technology platform developed by them is called 120 billion+ times a day. The Alitranx translation system provides more than 700 million daily calls for online services in 20 languages. + times. (Han Dapeng)
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