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Showing 20 of 962 academic articles
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg et al. (2021)
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 (...
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cc-by
DOI: https://doi.org/10.18653/v1/2021.acl-long.570
Tianrun A. Cai, Andreas A. Giannopoulos, Sheng Yu, Tatiana Kelil et al. • Radiographics
(2016)
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...
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Open Access
DOI: https://doi.org/10.1148/rg.2016150080
PMC: 4734053
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials
(2025)
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...
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cc-by-nc-nd
DOI: https://doi.org/10.1038/s41524-025-01554-0
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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Martin Hassel, Hercules Dalianis • IGI Global eBooks
(2011)
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...
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public-domain
DOI: https://doi.org/10.4018/978-1-60960-741-8
Timothy R. Brick, Matthias J. Scheutz • ACM/IEEE International Conference on Human-Robot Interaction (HRI)
(2007)
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...
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DOI: https://doi.org/10.1145/1228716.1228752
Vera Paola Shoda, Toshimasa Yamanaka • Behavioral Sciences
(2021)
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs12010007
Anke Holler, Anna Mareike Weimer, Benjamin Gittel, Caroline Sporleder et al. • Journal of Computational Literary Studies
(2024)
The paper analyses within-fiction reflections in 250 years of literary history. To this end, we formalised the concept of “reflective passage”, demonstrate how our annotation categories are deduced from literary theory and derive three subp...
DOAJ
Open Access (DOAJ)
DOI: 10.48694/jcls.3861
Thallys da Silva Nogueira, Laisa Marcorela Andreoli Sarte, Priscila Vanessa Zabala Capriles Goliatt • HU Revista
(2024)
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.34019/1982-8047.2024.v50.44375
Sargam Yadav, Abhishek Kaushik, Kevin McDaid • Applied AI Letters
(2026)
ABSTRACT Although artificial intelligence (AI) models have demonstrated great success and efficiency in automatically countering online hate speech and misogyny, they suffer from a lack of explainability and transparency. Explainable artifi...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.70028
Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology
(2025)
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...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2023.9010139
Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health
(2025)
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1588143
WANG Pengyu, JIANG Shuming, WEI Zhiqiang, YU Jun, ZHANG Mengmeng • Shandong kexue
(2026)
Current statistical work in the field of educational development faces challenges such as low knowledge-retrieval efficiency and high technical barriers to data utilization. This study focuses on the knowledge related to the indicator syste...
DOAJ
Open Access (DOAJ)
DOI: 10.3976/j.issn.1002-4026.2025079
Zhewei Zhang, Huzi Cheng, Tianming Yang • PLoS Computational Biology
(2020)
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pcbi.1008342
• Lecture notes in computer science
(2018)
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DOI: https://doi.org/10.1007/978-3-319-73618-1
Peter E. Jackson, Isabelle Moulinier • Natural language processing
(2002)
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...
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DOI: https://doi.org/10.1075/nlp.5(1st)
Atefeh Farzindar, Diana Zaiu Inkpen • Synthesis lectures on human language technologies
(2015)
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DOI: https://doi.org/10.2200/s00659ed1v01y201508hlt030
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
Helmut Horacek • Computer Physics Communications
(1990)
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DOI: https://doi.org/10.1016/0010-4655(90)90107-c
Taweh Beysolow • Apress eBooks
(2018)
This book shows how to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to ...
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DOI: https://doi.org/10.1007/978-1-4842-3733-5