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Showing 20 of 480 academic articles
Alexander F. Gelbukh • International Conference on Hybrid Intelligent Systems (HIS)
(2005)
Summary form only given. Natural language processing (NLP) is a major area of artificial intelligence research, which in its turn serves as a field of application and interaction of a number of other traditional AI areas. Until recently, th...
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DOI: https://doi.org/10.1109/ichis.2005.79
Vineet Raina, Srinath Krishnamurthy • Apress eBooks
(2021)
AI, as discussed in Chapter 1, refers to computers behaving intelligently like humans. One aspect of human intelligence is the capability of understanding and speaking languages. The subfield of AI that focuses on making computers seemingly...
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DOI: https://doi.org/10.1007/978-1-4842-7419-4_6
Dirk Hovy, Shannon Lydia Spruit • Proceedings of the conference - Association for Computational Linguistics. Meeting
(2016)
Medical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects.Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis...
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Open Access
DOI: https://doi.org/10.18653/v1/p16-2096
Ellen M. Voorhees • Lecture notes in computer science
(1999)
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DOI: https://doi.org/10.1007/3-540-48089-7_3
(2013)
Welcome to EMNLP 2010, Conference on Empirical Methods in Natural Language Processing! The conference is organized by SIGDAT, the Association for Computational Linguistics' special interest group on linguistic data and corpus-based approach...
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DOI: https://doi.org/10.18653/v1/d13-1
David D. Lewis, Karen Spärck Jones • Communications of the ACM
(1996)
retrieval approaches....
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Open Access
DOI: https://doi.org/10.1145/234173.234210
Mark D. Yandell, William H. Majoros • Nature Reviews Genetics
(2002)
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DOI: https://doi.org/10.1038/nrg861
Yoav Goldberg • Synthesis lectures on human language technologies
(2017)
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DOI: https://doi.org/10.1007/978-3-031-02165-7
Bohan Li, Yutai Hou, Wanxiang Che • AI Open
(2022)
As an effective strategy, data augmentation (DA) alleviates data scarcity scenarios where deep learning techniques may fail. It is widely applied in computer vision then introduced to natural language processing and achieves improvements in...
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DOI: https://doi.org/10.1016/j.aiopen.2022.03.001
V. Vishnuprabha, Lino Murali, Daleesha M Viswanathan • Apple Academic Press eBooks
(2021)
Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...
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DOI: https://doi.org/10.1201/9781003082033-19
Ying Xie, Linh Le, Yiyun Zhou, Vijay V. Raghavan • Handbook of statistics
(2018)
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DOI: https://doi.org/10.1016/bs.host.2018.05.001
Tichakorn NETSUWAN, Kraisak KESORN • Walailak Journal of Science and Technology
(2017)
This research presents online crime news analysis using text mining, Natural Language Processing framework (General Framework for Text Mining: GATE), and data warehouse (DW) technologies. The proposed framework aims at extracting key featur...
DOAJ
Open Access (DOAJ)
Yao L, Chen Y, Shen J, Zhang J et al. • Advances in Medical Education and Practice
(2026)
Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...
DOAJ
Open Access (DOAJ)
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems
(2024)
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Jeremy Y. Ng, Wael Abdelkader, Cynthia Lokker • BMC Complementary Medicine and Therapies
(2022)
Abstract Background Coronavirus disease 2019 (COVID-19) is a novel infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Despite the paucity of evidence, various complementary, alternative and integr...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12906-022-03586-1
Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports
(2021)
Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-021-88027-8
Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access
(2025)
Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3574641
Michael Chary, David Yi, Alex F. Manini • Frontiers in Psychiatry
(2018)
Novel psychoactive substances (NPS) refer to synthetic compounds or derivatives of more widely known substances of abuse that have emerged over the last two decades. Case reports suggest that users combine substances to achieve desired psyc...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpsyt.2018.00135
Rada F. Mihalcea, Dragomir Radev • Cambridge University Press eBooks
(2011)
Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different p...
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DOI: https://doi.org/10.1017/cbo9780511976247
Gopinath Rebala, Ajay Ravi, Sanjay Churiwala • Springer eBooks
(2019)
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DOI: https://doi.org/10.1007/978-3-030-15729-6_10