AIMC Topic: Comprehension

Clear Filters Showing 111 to 120 of 216 articles

Research on the Analysis of Correlation Factors of English Translation Ability Improvement Based on Deep Neural Network.

Computational intelligence and neuroscience
This paper adopts the algorithm of the deep neural network to conduct in-depth research and analysis on the factors associated with the improvement of English translation ability. This study focuses on text complexity, adding discourse complexity fea...

A hierarchy of linguistic predictions during natural language comprehension.

Proceedings of the National Academy of Sciences of the United States of America
Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations, from phonemes to meaning. It has been suggested that the brain uses prediction to guide the interpretation of incoming input. However,...

Does attributing mental states to a robot influence accessibility of information represented during reading?

Acta psychologica
When we read fiction, we encounter characters that interact in the story. As such, we encode that information and comprehend the stories. Prior studies suggest that this comprehension process is facilitated by taking the perspective of characters dur...

Construction and Application of a Human-Computer Collaborative Multimodal Practice Teaching Model for Preschool Education.

Computational intelligence and neuroscience
This paper adopts the multimodal approach of human-computer collaboration to conduct an in-depth study and analysis of the practical teaching model of preschool education, and applies the designed model to the actual teaching process. The application...

English Text Readability Measurement Based on Convolutional Neural Network: A Hybrid Network Model.

Computational intelligence and neuroscience
Text readability is very important in meeting people's information needs. With the explosive growth of modern information, the measurement demand of text readability is increasing. In view of the text structure of words, sentences, and texts, a hybri...

Dialogue with a conversational agent promotes children's story comprehension via enhancing engagement.

Child development
Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elemen...

Analysis of English Multitext Reading Comprehension Model Based on Deep Belief Neural Network.

Computational intelligence and neuroscience
In order to solve the problems of low accuracy and low efficiency of answer prediction in machine reading comprehension, a multitext English reading comprehension model based on the deep belief neural network is proposed. Firstly, the paragraph selec...

Visual comprehension and orientation into the COVID-19 CIDO ontology.

Journal of biomedical informatics
The current intensive research on potential remedies and vaccinations for COVID-19 would greatly benefit from an ontology of standardized COVID terms. The Coronavirus Infectious Disease Ontology (CIDO) is the largest among several COVID ontologies, a...

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model.

Computational intelligence and neuroscience
Target-oriented opinion words extraction (TOWE) seeks to identify opinion expressions oriented to a specific target, and it is a crucial step toward fine-grained opinion mining. Recent neural networks have achieved significant success in this task by...

On Mining Words: The Utility of Topic Models in Health Education Research and Practice.

Health promotion practice
Written language is the primary means by which scientific research findings are disseminated. Yet in the era of information overload, dissemination of a field of research may require additional efforts given the sheer volume of material available on ...