Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis

Du, Xuehui; Zhu, R. Y.; Li, Yanhong; Anjum, Ashiq

doi:10.1016/j.future.2019.01.016

Cited by 6 publications

(3 citation statements)

References 34 publications

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“…In this finding, errors were also found in the use of language, namely the existence of non-standard word writing. In this non-formal or non-standard language, there is also often found vocabulary of abbreviations or acronyms that can facilitate the communication process because it is considered shorter [34]. This nonstandard word has become quite dominant because the intention of writing it is still understood by other Facebook users.…”

Section: Hanah Halimah Parkmentioning

confidence: 99%

Critical Discourse Analysis: The Use of Language in Sukoharjo’s Second-Hand Buying and Selling Group on Facebook Social Media and Its Relationship to the Learning of Negotiation Texts

Nurhalimah,

Assidik,

Prabawa

et al. 2023

Advances in Social Science, Education and Humanities Research

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This study aims to obtain a description of the characteristics of the language and variety of languages used in posts on Buying and Selling Used Goods Sukoharjo on Facebook social media, as well as the relationship between the use of language in Sukoharjo Used Goods Buying and Selling posts on Facebook social media and learning Negotiation Texts. This research belongs to the type of qualitative research. The research design is descriptive qualitative research. Data was obtained from posts by members of Sukoharjo Used Goods Buying and Selling Group. The data collection technique used is documentation. The analytical method used in this study is critical discourse analysis. The survey results are as follows (1) Language characteristics in the post Group Buying and Selling Used Goods Sukoharjo found 16 characteristics of non-standard language, which means that in the process of communication on social media, often use nonformal language that is not by Indonesian rules. (2) The variety of languages in the Sukoharjo Used Goods Buying and Selling Group are Slang, jargon, terms, and mixed codes. The variety of jargon language is the type that is most often found because, in this Group, the majority discusses buying and selling, so many words are used that are limited to buying and selling only. (3) The use of language, both language characteristics and variety of languages in the posts contained in the Sukoharjo Used Goods Buying and Selling Group, can be related to the learning of negotiating texts in high school class X in KD 3.11 and KD 4.11.

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Section: Hanah Halimah Parkmentioning

confidence: 99%

Critical Discourse Analysis: The Use of Language in Sukoharjo’s Second-Hand Buying and Selling Group on Facebook Social Media and Its Relationship to the Learning of Negotiation Texts

Nurhalimah,

Assidik,

Prabawa

et al. 2023

Advances in Social Science, Education and Humanities Research

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“…ELT subjects mainly include students, society, schools, and culture itself [28]. Correspondingly, the value of ELT shows four aspects: the value of promoting students' development, social progress, school promotion, and cultural exchange.…”

Section: Elt Value Orientation Almost All Basic Education Inmentioning

confidence: 99%

Research on the Value Orientation of ELT Integration Based on Data Mining under the Background of Megadata

Wang

2022

Mathematical Problems in Engineering

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The research on the value orientation of ELT integration reflects the significance in the implementation and teaching of English courses. Based on the continuous development of metadata technology, this paper studies the value orientation of ELT integration based on DM. This paper interprets the characteristics and applications of megadata and analyzes the multiple challenges faced by ELT in the era of megadata. It also explores the value orientation of teaching integration in the era of megadata-data-driven teaching, which promotes scientific teaching decision-making, refined management, personalized learning, and teaching informationization. Depending on discussing the value of the English curriculum, this paper probes into the value orientation of English curriculum objectives, the value orientation of English curriculum content, the value orientation of students to the English curriculum, and the value orientation of ELT integration. This paper investigates and analyzes the realization basis of the integrative value orientation of ELT. Making full use of teaching resources may benefit not only the deep integration of instructional materials but also the scientific application of current scientific and technology methods to support ELT’s integrated value orientation. The essential significance of the research is to improve students’ comprehensive English literacy and comprehensively promote the realization of ELT value.

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“…The problem of abbreviation recognition and expansion, has so far been addressed mainly for English data, e.g. (Nadeau and Turney, 2005) and (Moon et al, 2012) where supervised machine learning algorithms are used, and (Du et al, 2019) who describes a complex system for English data that recognizes many types of abbreviations. But, there are papers describing the problem for other languages too, e.g.…”

Section: Related Workmentioning

confidence: 99%

Experiments with ad hoc ambiguous abbreviation expansion

Mykowiecka

Marciniak

2019

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis (LOUHI 2019)

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The paper addresses experiments to expand ad hoc ambiguous abbreviations in medical notes on the basis of morphologically annotated texts, without using additional domain resources. We work on Polish data but the described approaches can be used for other languages too. We test two methods to select candidates for word abbreviation expansions. The first one automatically selects all words in text which might be an expansion of an abbreviation according to the language rules. The second method uses clustering of abbreviation occurrences to select representative elements which are manually annotated to determine lists of potential expansions. We then train a classifier to assign expansions to abbreviations based on three training sets: automatically obtained, consisting of manual annotation, and concatenation of the two previous ones. The results obtained for the manually annotated training data significantly outperform automatically obtained training data. Adding the automatically obtained training data to the manually annotated data improves the results, in particular for less frequent abbreviations. In this context the proposed a priori data driven selection of possible extensions turned out to be crucial.

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Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis

Cited by 6 publications

References 34 publications

Critical Discourse Analysis: The Use of Language in Sukoharjo’s Second-Hand Buying and Selling Group on Facebook Social Media and Its Relationship to the Learning of Negotiation Texts

Critical Discourse Analysis: The Use of Language in Sukoharjo’s Second-Hand Buying and Selling Group on Facebook Social Media and Its Relationship to the Learning of Negotiation Texts

Research on the Value Orientation of ELT Integration Based on Data Mining under the Background of Megadata

Experiments with ad hoc ambiguous abbreviation expansion

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