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Academic Articles & Research Papers
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Kai-Wei Chang, Vinod M. Prabhakaran, Vicente Ordóñez • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2019)
Recent advances in data-driven machine learning techniques (e.g., deep neural networks) have revolutionized many natural language processing applications. These approaches automatically learn how to make decisions based on the statistics an...
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Rui Zhao, Haofeng Hu, Yun Li, Yuze Fan et al. • Sensors
(2024)
Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement lear...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24196202
Jalaj Thanaki (2017)
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...
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Francesco Maria Cianciaruso • Discover Artificial Intelligence
(2026)
Abstract The increasingly rapid development of deep learning algorithms is radically transforming society. The potential of neural models is paving the way for the automation of areas previously unrelated to AI, from medical diagnostics to ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01111-8
Aditya Malte, Pratik Ratadiya • arXiv (Cornell University)
(2019)
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...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1910.07370
William J. Zeng, Bob Coecke • Electronic Proceedings in Theoretical Computer Science
(2016)
We propose a new application of quantum computing to the field of natural language processing. Ongoing work in this field attempts to incorporate grammatical structure into algorithms that compute meaning. In (Coecke, Sadrzadeh and Clark, 2...
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cc-by-nc-nd
DOI: https://doi.org/10.4204/eptcs.221.8
Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights
(2026)
Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2026.100396
Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab, Nada Mimouni • Inteligencia Artificial
(2024)
In this work, we present a disciplinary e-tutoring system that integrates ONTO-TDM, an ontology designed for teaching domain modeling, with advanced transformer technology. Our primary objective is to enhance semantic similarity tasks withi...
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Open Access (DOAJ)
Matthew N. O. Sadiku, Yu Zhou, Sarhan M. Musa • International Journal of Advanced Research in Computer Science and Software Engineering
(2018)
Natural language processing (NLP) refers to the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written communication. Healthcare is the biggest user of t...
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DOI: https://doi.org/10.23956/ijarcsse.v8i5.626
Kealeboga Aiseng • Emerging Media
(2026)
This study examines the influence of artificial intelligence (AI)-driven media platforms on South Africa's indigenous languages—Setswana, Tshivenda, and Xitsonga—in the country's diverse linguistic environment. It examines how algorithmic b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/27523543261447913
Yue Zhao • Discover Artificial Intelligence
(2026)
Abstract The growing variety of student profiles in higher education has made it more important than ever to have smart systems that can change learning experiences on the job. Current recommendation algorithms fail to capture the complex r...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01500-z
Md Akash Rahman, Manoara Begum, Tanjim Mahmud, Mohammad Shahadat Hossain et al. • IEEE Access
(2024)
In the modern world, learning is becoming increasingly critical due to rapid technological breakthroughs, which highlight the need for continuous skill development in both the personal and professional spheres. As a result, eLearning is a c...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3419024
Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan • Information
(2019)
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info10080246
Anne Thessen, Hong Cui, Dmitry Mozzherin • Advances in Bioinformatics
(2012)
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if bio...
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cc-by
DOI: https://doi.org/10.1155/2012/391574
PMC: 3364545
Christopher Geib, Mark J. Steedman • Edinburgh Research Explorer (University of Edinburgh)
(2007)
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsin...
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other-oa
Daniel S. Jurafsky, James Martin (2000)
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more work...
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Jia Guo, Guoyuan Zhou, Ke Yan, Yi Di et al. • CAAI Transactions on Intelligence Technology
(2025)
ABSTRACT The challenge of optimising multimodal functions within high‐dimensional domains constitutes a notable difficulty in evolutionary computation research. Addressing this issue, this study introduces the Deep Backtracking Bare‐Bones P...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.70028
Mehdi Yekrangi, Nikola S. Nikolov • IEEE Access
(2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3293733
Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology
(2021)
Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12032
Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University)
(2021)
Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2112.14168