Strategies for Improving Text Reading Ability Based on Human-Computer Interaction in Artificial Intelligence
In order to improve text reading ability, a human-computer interaction method based on artificial intelligence (AI) human-computer interaction is proposed. Firstly, the design of the AI human-computer interaction model is constructed, which includes the Stanford Question Answering Dataset (SQuAD) an...
Main Author: | Guorong Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-03-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.853066/full |
Similar Items
-
Multigranularity Syntax Guidance with Graph Structure for Machine Reading Comprehension
by: Chuanyun Xu, et al.
Published: (2022-09-01) -
Augmented and challenging datasets with multi-step reasoning and multi-span questions for Chinese judicial reading comprehension
by: Qingye Meng, et al.
Published: (2022-01-01) -
VS3‐NET: Neural variational inference model for machine‐reading comprehension
by: Cheoneum Park, et al.
Published: (2019-07-01) -
Psychometric Properties of Smartphone Addiction Questionnaire (SPAQ) among Sultan Qaboos University Undergraduate Students
by: Hafidha S. Al-Barashdi, et al.
Published: (2014-12-01) -
A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
by: Changchang Zeng, et al.
Published: (2020-10-01)