公开(公告)号：EP3443467A1

公开(公告)日：2019-02-20

申请号：EP17727049.3

申请日：2017-05-17

申请人： Maluuba Inc.

发明人： TRISCHLER, Adam ,  BACHMAN, Philip ,  YUAN, Xingdi ,  YE, Zheng ,  SORDONI, Alessandro

IPC分类号： G06F17/27

摘要： Described herein are systems and methods for providing a natural language comprehension system that employs a two-stage process for machine comprehension of text. The first stage indicates words in one or more text passages that potentially answer a question. The first stage outputs a set of candidate answers for the question, along with a first probability of correctness for each candidate answer. The second stage forms one or more hypotheses by inserting each candidate answer into the question and determines whether a sematic relationship exists between each hypothesis and each sentence in the text. The second processing circuitry generates a second probability of correctness for each candidate answer and combines the first probability with the second probability to produce a score that is used to rank the candidate answers. The candidate answer with the highest score is selected as a predicted answer.