AIMC Topic: Language

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Semantic Analysis Technology of English Translation Based on Deep Neural Network.

Computational intelligence and neuroscience
English translation plays an important role in the development of science and technology and cultural exchanges. With the increase in translation volume, intelligent translation has become inevitable, but there is no effective solution for semantic t...

Deep Learning Models for Fast Retrieval and Extraction of French Speech Vocabulary Applications.

Computational intelligence and neuroscience
Due to the large French vocabulary, how quickly retrieve and accurately identify the required vocabulary is still a big challenge in French learning. In view of the above problems, we introduce a deep learning algorithm in this study to upgrade and o...

A conversational agent system for dietary supplements use.

BMC medical informatics and decision making
BACKGROUND: Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively. Conversational agent (...

The Cognitive Transformation of Japanese Language Education by Artificial Intelligence Technology in the Wireless Network Environment.

Computational intelligence and neuroscience
This study aims to solve the multiscale problems faced by the current classroom student behavior target detection based on the convolutional neural network (CNN) in the wireless network environment. Firstly, the recent reform of Japanese language edu...

Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts.

BMC bioinformatics
BACKGROUND AND OBJECTIVE: Although rare diseases are characterized by low prevalence, approximately 400 million people are affected by a rare disease. The early and accurate diagnosis of these conditions is a major challenge for general practitioners...

Identification and Optimization of Contributing Factors for Precocious Puberty by Machine/Deep Learning Methods in Chinese Girls.

Frontiers in endocrinology
BACKGROUND AND OBJECTIVES: As the worldwide secular trends are toward earlier puberty, identification of contributing factors for precocious puberty is critical. We aimed to identify and optimize contributing factors responsible for onset of precocio...

Microblog User Emotion Analysis Method Based on Improved Hierarchical Attention Mechanism and BiLSTM.

Computational intelligence and neuroscience
The goal of Chinese fine-grained emotion analysis is to identify the target words corresponding to fine-grained elements from sentences and determine the corresponding emotional polarity for the target words. Aiming at the problem that the current Si...

Simulation of English Word Order Sorting Based on Semionline Model and Artificial Intelligence.

Computational intelligence and neuroscience
To improve the word order ranking effect of English language retrieval, based on machine learning algorithms, this paper combines a semionline model to construct an artificial intelligence ranking model for English word order based on a semionline mo...

Anatomy and the type concept in biology show that ontologies must be adapted to the diagnostic needs of research.

Journal of biomedical semantics
BACKGROUND: In times of exponential data growth in the life sciences, machine-supported approaches are becoming increasingly important and with them the need for FAIR (Findable, Accessible, Interoperable, Reusable) and eScience-compliant data and met...

A hybrid method based on semi-supervised learning for relation extraction in Chinese EMRs.

BMC medical informatics and decision making
BACKGROUND: Building a large-scale medical knowledge graphs needs to automatically extract the relations between entities from electronic medical records (EMRs) . The main challenges are the scarcity of available labeled corpus and the identification...