Systems and methods for reading comprehension for a question answering task

A system comprising:

• at least one memory including a pipeline neural network;
• a processor coupled to the at least one memory;
• and
• the pipeline neural network configured to:
• receive an input text of a natural language question and context that provides an answer to the natural language question, wherein the context includes a plurality of paragraphs;
• select, using a context selection network in the pipeline neural network, a premium context from the context, wherein the premium context includes at least one paragraph having a probability above a probability threshold;
• determine, using a question type network in the pipeline neural network, that the natural language question is answered by an answer span;
• and
• determine, using a span extraction network in the pipeline neural network and the premium context, the answer span as the answer to the natural language question.

A system comprising:

• at least one memory including a pipeline neural network;
• a processor coupled to the at least one memory;
• and
• the pipeline neural network configured to:
• receive an input text of a natural language question and context that provides an answer to the natural language question;
• select, using a context selection network in the pipeline neural network, a premium context from the context;
• determine, using a question type network in the pipeline neural network, that the natural language question is answered by an answer span, wherein the question type network includes a three-classifier neural network and configured to classify a type of the natural language question as a yes question, a no question, or a span question;
• and
• determine, using a span extraction network in the pipeline neural network and the premium context, the answer span as the answer to the natural language question.