Natural Language Processing for Biosurveillance
https://doi.org/10.1007/978-1-4419-6892-0_13
Discover Books. Explore Knowledge.
Search and discover peer-reviewed scholarly literature, open-access articles, and research citations across DOAJ, PubMed Central, and OpenAlex.
https://doi.org/10.1007/978-1-4419-6892-0_13
Convolutional neural network (Convolutionl Neural Network, CNN) is a multiple-layer neural network method to learn hierarchical characteristic of data. In recent years, CNN has developed rapidly in the design and calculation of natural lang...
https://doi.org/10.1109/iciscae.2018.8666928
https://doi.org/10.1016/j.schres.2020.04.032
PMC: 7704556
Natural language processing (NLP) refers to the field of study that focuses on the interactions between human language and computers. It is a computational approach to text analysis. It is the application of a wide range of computational te...
https://doi.org/10.31695/ijasre.2018.32708
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (...
https://doi.org/10.18653/v1/2021.acl-long.570
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...
https://doi.org/10.1148/rg.2016150080
PMC: 4734053
The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...
https://doi.org/10.1038/s41524-025-01554-0
Leverage the power of machine learning and deep learning to extract information from text dataAbout This BookImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implemen...
Today, with digitally stored information available in abundance, even for many less commonly spoken languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one su...
https://doi.org/10.4018/978-1-60960-741-8
Robots that interact with humans face-to-face using natural language need to be responsive to the way humans use language in those situations. We propose a psychologically-inspired natural language processing system for robots which perform...
https://doi.org/10.1145/1228716.1228752
Humor is applied in pedagogy to create a positive learning environment. Recent research focuses on the theories, effects, individual differences, and qualitative aspects of humor for instruction. However, there is a lack of studies focusing...
10.3390/bs12010007
Introduction: The COVID-19 pandemic has had a number of impacts on people's daily lives around the world. The radical change in people's daily routines has led to an increase in the use and consumption of social media content. The scenario ...
10.34019/1982-8047.2024.v50.44375
Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...
10.26599/TST.2023.9010139
IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...
10.3389/fdgth.2025.1588143
The brain makes flexible and adaptive responses in a complicated and ever-changing environment for an organism's survival. To achieve this, the brain needs to understand the contingencies between its sensory inputs, actions, and rewards. Th...
10.1371/journal.pcbi.1008342
https://doi.org/10.1007/978-3-319-73618-1
Technology practitioners in the Internet space are constantly faced with difficult decision-making as to what research has been done and what the best practices are. This lucid text covers the emerging technologies of document retrieval, in...
https://doi.org/10.1075/nlp.5(1st)
https://doi.org/10.2200/s00659ed1v01y201508hlt030
In this paper, we present a study of the recent advancements which have helped bring Transfer Learning to NLP through the use of semi-supervised training. We discuss cutting-edge methods and architectures such as BERT, GPT, ELMo, ULMFit amo...
https://doi.org/10.48550/arxiv.1910.07370
https://doi.org/10.1016/0010-4655(90)90107-c