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Academic Articles & Research Papers
Showing 20 of 3,028 academic articles
Tang Jinlan, Qian Kan, Wang Na, Hu Xiaona • Journal of China Computer-Assisted Language Learning
(2021)
Many studies about eTandem and language learning stem from learners in Western institutions of higher education. Unfortunately, there is a lack of research investigating the telecollaboration regarding language development between learners ...
DOAJ
Open Access (DOAJ)
DOI: 10.1515/jccall-2021-2005
Jim Barnett, Kevin K. Knight, Inderjeet Mani, Elaine A. Rich • Communications of the ACM
(1990)
KBNL is a knowledge-based natural language processing system that is novel in several ways, including the clean separation it enforces between linguistic knowledge and world knowledge, and its use of knowledge to aid in lexical acquisition....
OPENALEX
Open Access
DOI: https://doi.org/10.1145/79173.79177
Jack W. Luo, Jaron Chong • Neuroimaging Clinics of North America
(2020)
OPENALEX
DOI: https://doi.org/10.1016/j.nic.2020.08.001
Karen Jensen, George E. Heidorn, Richardson, Stephen D, Richardson, Stephen D • Kluwer international series in engineering and computer science
(1993)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4615-3170-8
Patrick Hanks, James D. Pustejovsky • Revue française de linguistique appliquée
(2005)
Résumé Cet article passe en revue de façon succincte trois des ressources principales utilisées actuellement pour la désambiguïsation lexicale (WordNet, FrameNet et les classes de Levin), et propose une approche alternative, en prenant comm...
OPENALEX
Open Access
DOI: https://doi.org/10.3917/rfla.102.82
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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Louise Guthrie, James D. Pustejovsky, Yorick Alexander Wilks, Brian M. Slator • Communications of the ACM
(1996)
article Free AccessThe role of lexicons in natural language processing Authors: Louise Guthrie Lockheed Martin Text Exploitation Group Lockheed Martin Text Exploitation GroupView Profile , James Pustejovsky Brandeis Univ., Waltham Brandeis ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/234173.234204
Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science
(2024)
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...
OPENALEX
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DOI: https://doi.org/10.7717/peerj-cs.2222
PMC: 11322986
Danielle S. McNamara, Scott A. Crossley, Rod D. Roscoe • Behavior Research Methods
(2012)
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Open Access
DOI: https://doi.org/10.3758/s13428-012-0258-1
Nizar Y. Habash (2022)
The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...
OPENALEX
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DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2
Robert H Baud, A M Rassinoux, Jean Raoul Scherrer • Methods of Information in Medicine
(1992)
For medical records, the challenge for the present decade is Natural Language Processing (NLP) of texts, and the construction of an adequate Knowledge Representation. This article describes the components of an NLP system, which is currentl...
OPENALEX
DOI: https://doi.org/10.1055/s-0038-1634865
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making
(2018)
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
OPENALEX
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
Akshar Bharati, Vineet Chaitanya, Rajeev Sangal, K.V. Ramakrishnamacharyulu (1996)
This book is presented with a paninian perspective [Panini 500 B was a grammarian and well known for his contribution to the grammar and structure of the language.] It introduces three western grammar frameworks using examples from English....
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C Friedman, George M. Hripcsak, William DuMouchel, Stephen B. Johnson et al. • Natural Language Engineering
(1995)
Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...
OPENALEX
DOI: https://doi.org/10.1017/s1351324900000061
Carol Friedman, Noémie Elhadad • Springer eBooks
(2013)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4471-4474-8_8
Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics
(2026)
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14020299
Yuan Huang, Zhixing Li, Wei Deng, Guoyin Wang et al. • CAAI Transactions on Intelligence Technology
(2021)
Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12033
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
Cansu Colakca, Mehmet Ergın, Habibe Selmin Ozensoy, Alp Sener et al. • Scientific Reports
(2024)
Abstract Erroneous and delayed triage in an increasingly crowded emergency department (ED). ChatGPT is an artificial intelligence model developed by OpenAI® and is being trained for use in natural language processing tasks. Our study aims t...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-73229-7
Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information
(2025)
Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info16050358