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Reservoir Memory Machines as Neural Computers.

IEEE transactions on neural networks and learning systems
Differentiable neural computers (DNCs) extend artificial neural networks with an explicit memory without interference, thus enabling the model to perform classic computation tasks, such as graph traversal. However, such models are difficult to train,...

Hierarchical Attention Neural Network for Event Types to Improve Event Detection.

Sensors (Basel, Switzerland)
Event detection is an important task in the field of natural language processing, which aims to detect trigger words in a sentence and classify them into specific event types. Event detection tasks suffer from data sparsity and event instances imbala...

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning.

Sensors (Basel, Switzerland)
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals' emotions empowers sentiment analysis. However, sentiment analysis becomes even mo...

Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis.

Computational intelligence and neuroscience
Brand image assessment is a key step to reasonably quantify the value of a brand and has far-reaching significance for improving the competitiveness of an enterprise. With the rapid development of Internet technology, traditional questionnaires can n...

Application of Adaptive Neural Network Algorithm Model in English Text Analysis.

Computational intelligence and neuroscience
Based on the existing optimization neural network algorithm, this paper introduces a simple and computationally efficient adaptive mechanism (adaptive exponential decay rate). By applying the adaptive mechanism to the Adadelta algorithm, it can be se...

Novel Perspectives for the Management of Multilingual and Multialphabetic Heritages through Automatic Knowledge Extraction: The DigitalMaktaba Approach.

Sensors (Basel, Switzerland)
The linguistic and social impact of multiculturalism can no longer be neglected in any sector, creating the urgent need of creating systems and procedures for managing and sharing cultural heritages in both supranational and multi-literate contexts. ...

Application of Artificial Intelligence Combined with 5G Technology in the Reform of English Teaching in Universities.

Computational intelligence and neuroscience
The language assistance and learning sectors have currently undergone restructuring in the period of fifth-generation (5G) communication and artificial intelligence, influenced by technologies, cloud services, learning techniques, speaker identificat...

Evaluation and Stratification for Chinese International Education Quality with Deep Learning Model.

Computational and mathematical methods in medicine
In the process of human communication, language learning and communication play a fundamental, leading, broad, and long-lasting role. It serves as a link and a bridge between countries and peoples, allowing for greater understanding and camaraderie. ...

Past and future uses of text mining in ecology and evolution.

Proceedings. Biological sciences
Ecology and evolutionary biology, like other scientific fields, are experiencing an exponential growth of academic manuscripts. As domain knowledge accumulates, scientists will need new computational approaches for identifying relevant literature to ...

The Performance of Artificial Intelligence Translation App in Japanese Language Education Guided by Deep Learning.

Computational intelligence and neuroscience
With recent technological advances in wireless networks and the Internet, social media has become a vital part of the daily lives of people. Social media like Twitter, Facebook, and Instagram have enabled people to instantly share their thoughts and ...