Documenting Simpa: Advances in language documentation by Nana Ama Agyeman

“…The paper reviews theories, approaches, methods, and tools of language documentation to highlight how they were employed and attuned to take care of the Simpa context. …”

A Taxonomy of MBSE Approaches by Languages, Tools and Methods by Pierre De Saqui-Sannes, Rob A. Vingerhoeds, Christophe Garion, Xavier Thirioux

“…The current paper explores a complementary avenue and aims at giving students and industry practitioners a set of keys and decision criteria to select MBSE languages, tools and methods. Languages, tools and methods are categorised and selection criteria are proposed for a panorama of languages that goes beyond SysML and other techniques commonly associated with MBSE. …”
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Examining the attitudes of students’ towards using computer assisted language learning in foreign language classrooms by Lazura Kazykhankyzy, Gulnara A. Rizakhojayeva, Berdibay D. Turlybekov, Madina M. Akeshova

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Identification and Visualization of Key Topics in Scientific Publications with Transformer-Based Language Models and Document Clustering Methods by Min-Hsien Weng, Shaoqun Wu, Mark Dyer

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Natural language processing for web document representation by Hoang, Manh Linh.

“…It can provide human language-like representations of documents to be further processed for data mining purposes. …”
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TagMeds : a tool for populating eXtensible Markup Language documents with UMLS concept unique identifiers of current medications by Nakrin, Andrew S. (Andrew Steven), 1952-

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2D visualization of terms and documents in Malay language by Tengku Sembok, Tengku Mohd, Kamal Ismail, Normaly, Mat Saad, Nur Hamizah, Sidi Omar, Sidi Bukhari

“…Method used to develop vector space model for term-document relationship is TF*IDF and Cosine Similarity technique used for document-document relationship. …”
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The Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Set by Marvin Chandra Wijaya

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A method to advance adolescent sexual health research: Automated algorithm finds sexual history documentation by Caryn Robertson, Caryn Robertson, Gargi Mukherjee, Gargi Mukherjee, Holly Gooding, Holly Gooding, Holly Gooding, Swaminathan Kandaswamy, Swaminathan Kandaswamy, Evan Orenstein, Evan Orenstein

“…Background:We aimed to develop and validate a rule-based Natural Language Processing (NLP) algorithm to detect sexual history documentation and its five key components [partners, practices, past history of sexually transmitted infections (STIs), protection from STIs, and prevention of pregnancy] among adolescent encounters in the pediatric emergency and inpatient settings.MethodsWe iteratively designed a NLP algorithm using pediatric emergency department (ED) provider notes from adolescent ED visits with specific abdominal or genitourinary (GU) chief complaints. …”
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Parallel-Based Corpus Annotation for Malay Health Documents by Hafsah, Saidah Saad, Lailatul Qadri Zakaria, Ahmad Fadhil Naswir

“…To address this, the paper proposes a method for constructing an annotated corpus of Malay health documents. …”
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Applications of natural language processing tools in the surgical journey by Khang Duy Ricky Le, Khang Duy Ricky Le, Khang Duy Ricky Le, Khang Duy Ricky Le, Samuel Boon Ping Tay, Kay Tai Choy, Johan Verjans, Johan Verjans, Nicola Sasanelli, Nicola Sasanelli, Nicola Sasanelli, Joseph C. H. Kong, Joseph C. H. Kong, Joseph C. H. Kong, Joseph C. H. Kong

“…This study aims to review the current research and insights into the potential for implementation of natural language processing tools into surgery.MethodsA narrative review was conducted following a computer-assisted literature search on Medline, EMBASE and Google Scholar databases. …”
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The informed consent form navigator: a tool for producing readable and compliant consent documents by Jonathan P. Bona, Joseph Utecht, Aaron S. Kemp, Jennifer M. Gan, Alison Caballero, Christopher R. Trudeau, Mathias Brochhausen, Laura James

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Introducing RAPTOR: RevMan Parsing Tool for Reviewers by Lena Schmidt, Farhad Shokraneh, Kirsten Steinhausen, Clive E. Adams

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Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents by Ferrández Oscar, South Brett R, Shen Shuying, Friedlin F, Samore Matthew H, Meystre Stéphane M

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Formalization of Technological Knowledge in the Field of Metallurgy using Document Classification Tools Supported with Semantic Techniques by Regulski K.

“…The developed methodology allowed for the creation of semantic knowledge base on the basis of documents in natural language in the field of metallurgy.…”
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Buryat Historical Phonetics in Seventeenth-Century Russian-Language Documents: Problem Statement Approached. Part One by Vladimir V. Tishin, Bair Z. Nanzatov

“…Materials and methods. Part One of the study deals with discussions over some general chronology of phonetic changes that have resulted in the shaping of Buryat, and distinguish the latter from other Mongolic languages. …”
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Tool for Parsing Important Data from Web Pages by Martina Radilova, Patrik Kamencay, Robert Hudec, Miroslav Benco, Roman Radil

“…These methods of automatic natural language processing help to identify the main block of the web document. …”
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Modes of Annotation in the Video-Based Corpus FrancoToile: Developing a Design Method by Catherine Caws, Stewart Arneil

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“Time for Some Traffic Problems": Enhancing E-Discovery and Big Data Processing Tools with Linguistic Methods for Deception Detection by Erin Smith Crabb

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An Annotated Corpus of Crime-Related Portuguese Documents for NLP and Machine Learning Processing by Gonçalo Carnaz, Mário Antunes, Vitor Beires Nogueira

“…The dataset was evaluated and a mean precision of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.808</mn></mrow></semantics></math></inline-formula>, recall of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.722</mn></mrow></semantics></math></inline-formula>, and F1-score of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.733</mn></mrow></semantics></math></inline-formula> were obtained with the classification of the annotated named-entities present in the crime-related documents. This corpus can be employed to benchmark Machine Learning (ML) and Natural Language Processing (NLP) methods and tools to detect and correlate entities in the documents. …”
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