Mar 14, 2017 · In this paper, we approach the problems by closely modelling questions in a neural network framework. We first introduce syntactic information ...

Mar 14, 2017 · This paper first introduces syntactic information to help encode questions and then view and model different types of questions and the ...

Mar 17, 2017 · In this paper, we approach the problems by closely modelling questions in a neural network framework. We first introduce syntactic information ...

In this paper, we explore better question understanding and representation. First, we propose enriched question representation by encoding syntactic information ...

Conversely, we propose to include a simple structure called fine-grained gate based on Question-summary. The main idea is to regulate the flow of contextual ...

Mar 25, 2017 · The last several years have seen intensive interest in exploring neural-network- based models for machine comprehension (MC) and question ...

The idea of a Question Answering (QA) system is to extract information (some- times passages, or spans of words) directly from documents, conversations, ...

Mar 14, 2017 · In this paper, we approach the problems by closely modelling questions in a neural network framework. We first introduce syntactic information ...

The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA).

This work focuses on the Stanford Question Answering Dataset (SQuAD) and proposes an end-toend deep neural network model for machine comprehension, ...