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A Pattern Dictionary for Natural Language Processing

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

Bias and Fairness in Natural Language Processing

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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The role of lexicons in natural language processing

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

Natural language processing with transformers: a review

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 cc-by DOI: https://doi.org/10.7717/peerj-cs.2222 PMC: 11322986

Arabic Natural Language Processing

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 cc-by DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2

Natural Language Processing and Semantical Representation of Medical Texts

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

A bibliometric analysis of natural language processing in medical research

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 cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

Natural language processing in an operational clinical information system

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