A study on standardization of security evaluation information for chemical processes based on deep learning
L Peng, D Gao, Y Bai - Processes, 2021 - mdpi.com
Hazard and operability analysis (HAZOP) is one of the most commonly used hazard analysis
methods in the petrochemical industry. The large amount of unstructured data in HAZOP …
methods in the petrochemical industry. The large amount of unstructured data in HAZOP …
Joint model of entity recognition and relation extraction based on artificial neural network
Z Zhang, S Zhan, H Zhang, X Li - Journal of Ambient Intelligence and …, 2022 - Springer
Entity and relationship extraction is an important step in building a knowledge base, which is
the basis for many artificial intelligence products to be used in life, such as Amazon Echo …
the basis for many artificial intelligence products to be used in life, such as Amazon Echo …
Construction method of knowledge graph under machine learning
P Han, J Guo, H Lai, Q Song - International Journal of Grid …, 2022 - inderscienceonline.com
With the increasing trade among China and Southeast Asian countries, cultural exchanges
have become more and more intensified. Convenient language communication constitutes …
have become more and more intensified. Convenient language communication constitutes …
Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks Based on Various Pre-trained Models
Y Saeid, V Wolf, F Neubürger - International Conference on Data Science …, 2023 - Springer
This research paper aims to explore job prediction by employing various deep neural
network models, namely TextCNN, CNN-LSTM, TextRNN, and RCNN. The study utilizes …
network models, namely TextCNN, CNN-LSTM, TextRNN, and RCNN. The study utilizes …
Models Distillation with Lifelong Deep Learning for Vietnamese Biomedical Named Entity Recognition
In realistic data, named entities may appear in a variety of rich contexts with unique
characteristics and the performance of the named entity recognition (NER) task directly …
characteristics and the performance of the named entity recognition (NER) task directly …
A joint course knowledge entity and relation extraction method for educational data
F Qin, Z Zhang, X Zheng - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Considering the current growth of data in Educational Field, especially in recent times, due
to the COVID-19 epidemic, the volume of online course data has increased exponentially …
to the COVID-19 epidemic, the volume of online course data has increased exponentially …
A Word+ Character Embedding Based Relation Extraction Frame for Domain Ontology of Natural Resources and Environment
Building domain ontology is a challenging problem, and there are many different
approaches for domain ontology construction. However, most of these approaches are still …
approaches for domain ontology construction. However, most of these approaches are still …