Explainable natural language processingSustainability commonly refers to entities, such as individuals, companies, and institutions, having a non-detrimental (or even positive) impact on the environment, society
While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs cannot always be trusted. Recently Explainable Artificial Intelligence (XAI) me...
Shahid MR, Debar H (2021) CVSSBERT: Explainable natural language processing to determine the severity of a computer security vulnerability from its description. In: 2021 20th IEEE international conference on machine learning and applications (ICMLA). IEEE, pp 1600–1607 Sharafaldin I, Lashkari AH,...
Natural language processing NNs: Neural networks Scene Graph QA: Scene graph question answering VQA: Visual question answering XAI: Explainable artificial intelligence References Chang XJ, Ren PZ, Xu PF, Li ZH, Chen XJ, Hauptmann A (2023) A comprehensive survey of scene graphs: Generation...
Natural Language Processing (NLP) allows for the analysis of unstructured text data, providing valuable insights into the intricate facets of loneliness. NLP encompasses a variety of techniques, including parts-of-speech tagging, named entity recognition, and parsing, which enable the processing and ...
Though the transformer-based models were popular in Natural Language Processing, the recent advent of the vision transformer is gaining popularity over time, which utilizes the transformer architecture that uses self-attention to sequences of image patches18. The sequence of image patches is the input...
It is commonly used in tasks that involve sequential data analysis, such as natural language processing and speech recognition. The Bi-GRU model consists of two GRU layers: one that processes the input sequence in the forward direction and another in the backward direction. The outputs of both ...
Natural Language Processing and Chinese Computing, 11839, 563–574. https://doi.org/10.1007/978-3-030-32236-6_51 Marr, B. (2024, March 19). As AI Expands, Public Trust Seems To Be Falling. Forbes. https://www.forbes.com/sites/bernardmarr/2024/03/19/is-the-public-losing-trust-in-...
Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing. ACM Comput Surv, 55(9): 195. https://doi.org/10.1145/3560815 Article MATH Google Scholar Liu XY, Wang GX, Yang HY, et al., 2023. FinGPT: democratizing Internet-scale data for ...
His current research interest includes Database, Pattern Recognition, Cryptography, Network Security, Artificial Intelligence, Machine Learning, Soft Computing, Natural Language Processing, Data Science, Compiler Design, Data Analytics, and Machine Automation. He has many edited books, published by Wiley,...