摘要：Such algorithms are limited to the information that is seen by these systems. While NLP research has made great steps in producing artificially intelligent behaviors, e.g., Google, IBM’s Watson, and Apple’s Siri, none of such NLP frameworks actually understand what they are doing—making them no different from a parrot that learns to repeat words without any clear understanding of what it is saying. Today, even the most popular NLP technologies view text analysis as a word or pattern matching task [5].
