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Natural language processing

Ralph Grishman • Journal of the American Society for Information Science (1984)

Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...

OPENALEX DOI: https://doi.org/10.1002/asi.4630350507

Natural language processing in information retrieval

Tamas E. Doszkocs • Journal of the American Society for Information Science (1986)

The role and contributions of natural-language processing in information-retrieval and artificial-intelligence research is examined in the context of large operational information-retrieval systems and services. State-of-the-art information...

OPENALEX DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y

NATURAL LANGUAGE PROCESSING IN HEALTHCARE

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...

OPENALEX DOI: https://doi.org/10.23956/ijarcsse.v8i5.626

Survey of Natural Language Processing Techniques in Bioinformatics

Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine (2015)

Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....

OPENALEX cc-by DOI: https://doi.org/10.1155/2015/674296 PMC: 4615216

Data-driven materials research enabled by natural language processing and information extraction

Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews (2020)

Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...

OPENALEX other-oa DOI: https://doi.org/10.1063/5.0021106

Applying Natural Language Processing in Manufacturing

Marvin Carl May, Jan Neidhöfer, Tom Körner, Louis Schäfer et al. • Procedia CIRP (2022)

Despite great progress in the digitization of the industrial sector through Industry 4.0 and widely available data, data analysis is typically constrained to numerical data, not the synthesis of knowledge. Although valuable employee knowled...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procir.2022.10.071

Inheritance in natural language processing

Walter M. P. Daelemans, Koenraad De Smedt, Gerald J. M. Gazdar • OLAC - Open Language Archives Community (1992)

In this introduction to the special issues, we begin by outlining a concrete example that indicates some of the motivations leading to the widespread use of inheritance networks in computational linguistics. This example allows us to illust...

OPENALEX DOI: https://doi.org/10.5555/142235.142243

Natural Language Processing

Enrico Franconi B • Cambridge University Press eBooks (2007)

In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511711787.017

Provable Limitations of Acquiring Meaning from Ungrounded Form: What Will Future Language Models Understand?

William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith • Transactions of the Association for Computational Linguistics (2021)

AbstractLanguage models trained on billions of tokens have recently led to unprecedented results on many NLP tasks. This success raises the question of whether, in principle, a system can ever “understand” raw text without access to some fo...

DOAJ Open Access (DOAJ) DOI: 10.1162/tacl_a_00412

Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed

Wang, Jing, Deng, Huan, Liu, Bangtao, Hu, Anbin et al. • Journal of Medical Internet Research (2020)

BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...

DOAJ Open Access (DOAJ) DOI: 10.2196/16816

Natural language processing

Roger C. Schank, Alex Kass • Theoretical Issues In Natural Language Processing (1987)

Article Free Access Share on Natural language processing: what's really involved? Authors: Roger Schank Yale University, New Haven, CT Yale University, New Haven, CTView Profile , Alex Kass Yale University, New Haven, CT Yale University, Ne...

OPENALEX DOI: https://doi.org/10.3115/980304.980329