Passage justification scoring for question answering

摘要

According to an aspect, passage justification scoring is implemented by a processor executing computer readable instructions. The computer readable instructions include creating a multi-layered neural network from domain knowledge and training the multi-layered neural network with labeled data and unlabeled data. The computer readable instructions further include inputting at least one of an existing passage justification component and raw input data for a question and passage to the multi-layered neural network, extracting concepts determined to have passage justification with respect to a candidate answer contained in a respective passage, and creating a passage justification model from the extracted concepts and from passage justification ground truth.

主权项

1. A system, comprising:
a memory having computer readable computer instructions; and a processor for executing the computer readable instructions, the computer readable instructions including: creating a multi-layered neural network from domain knowledge; training the multi-layered neural network with labeled data and unlabeled data; inputting at least one of an existing passage justification component and raw input data for a question and passage to the trained multi-layered neural network; extracting, via the trained multi-layered neural network and from results of inputting the at least one existing passage justification component and raw input data for a question and passage, concepts determined to have passage justification; creating, via machine learning, a passage justification model from the extracted concepts and from passage justification; and scoring, via the passage justification model, the extracted concepts.