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Extracting Meaning from Abbreviated Identifiers

Dawn Lawrie, Henry Feild, David Binkley
2007 Seventh IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2007)  
Informative identifiers are made up of full (natural language) words and (meaningful) abbreviations.  ...  In addition, those familiar with the code can (most often) determine the meaning of abbreviations used in identifiers.  ...  It also helps subsequent analysis tools by making meaning easier to extract from the source code.  ... 
doi:10.1109/scam.2007.17 dblp:conf/scam/LawrieFB07 fatcat:xrhuanhxiza3lcqafgtama5eha

Extracting Meaning from Abbreviated Identifiers

Dawn Lawrie, Henry Feild, David Binkley
2007 Seventh IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2007)  
Informative identifiers are made up of full (natural language) words and (meaningful) abbreviations.  ...  In addition, those familiar with the code can (most often) determine the meaning of abbreviations used in identifiers.  ...  It also helps subsequent analysis tools by making meaning easier to extract from the source code.  ... 
doi:10.1109/scam.2007.4362915 fatcat:c7t47h5olbhhdavfvryreqkahe

Automatic Extraction for Creating a Lexical Repository of Abbreviations in the Biomedical Literature [chapter]

Min Song, Il-Yeol Song, Ki Jung Lee
2006 Lecture Notes in Computer Science  
The proposed technique is differentiated from others in the following aspects: 1) It incorporates lexical analysis techniques to supervised learning for extracting abbreviations. 2) It makes use of text  ...  chunking techniques to identify long forms of abbreviations. 3) It significantly improves Recall compared to other techniques.  ...  It, first, extracts "short form-long form" pair candidates from a text and then identifies the correct long-form from the sentence that the paired short-form is enclosed.  ... 
doi:10.1007/11823728_37 fatcat:mdpt4b3tpvbovcwzurgouxmuty

IBI-UPF at BARR-2017: Learning to Identify Abbreviations in Biomedical Literature System description

Francesco Ronzano, Laura Inés Furlong
2017 Annual Conference of the Spanish Society for Natural Language Processing  
In a second phase, relations between the abbreviations and definitions previously spotted are identified by means of a set of heuristics based on structural and linguistic traits of the text of each abstract  ...  In the first one, by relying on a set of shallow linguistic features extracted from the textual contents of biomedical abstracts, we trained two token classifiers to spot sequences of one or more tokens  ...  The first one identifies and characterizes abbreviations and candidate Long Forms by means of a set of token based classifiers.  ... 
dblp:conf/sepln/RonzanoF17 fatcat:snjip3jrg5gmpkprge6gjar6eu

Automated Identification of Semantic Similarity between Concepts of Textual Business Rules

Abdellatif Haj, Hassan I University, Youssef Balouki, Taoufiq Gadi, Hassan I University, Hassan I University
2021 International Journal of Intelligent Engineering and Systems  
Our method is unique in that it also identifies abbreviations/expansions (as a special case of synonym) which is not possible using a dictionary.  ...  In this paper, we present an automated approach to identify semantic similarity between terms in textual BR using Natural Language Processing and knowledge-based algorithm refined using heuristics.  ...  After that, single as well as multi word terms are extracted using algorithm 1. Next, synonym terms are identified using algorithm 2. Then, Abbreviations are identified using algorithm 3.  ... 
doi:10.22266/ijies2021.0228.15 fatcat:uvw7r74yyvegde2gdibcaj6gli

The Ambiguous Medical Abbreviation (AMA) Study ‐ Challenges and Opportunities

Sarah Holper, Rahul Barmanray, Blake Colman, Christopher J Yates, Danny Liew, David Smallwood
2019 Internal medicine journal (Print)  
We designed a software programme to extract all instances of abbreviations from every General Medical Unit discharge summary from the Royal Melbourne Hospital in 2015.  ...  Of the 1 551 537 words analysed from 2336 documents, 137 997 (8.9%) were abbreviations with 1741 distinct abbreviations identified. Most abbreviations (88.7%) had a single expansion.  ...  The Ambiguous Medical Abbreviation (AMA) Study -Challenges and Opportunities Sarah Holper 1 MBBS (Hons); Basic Physician Trainee.  ... 
doi:10.1111/imj.14442 pmid:31389137 fatcat:wbswb7u3wzg5ld7oe6xipmlshi

PNAD-CSS: a workbench for constructing a protein name abbreviation dictionary

M. Yoshida, K.-i. Fukuda, T. Takagi
2000 Bioinformatics  
The PNAD System can extract the pairs from parenthetical-paraphrases involved in protein names, the PROPER System identified these pairs, with 98.95% precision, 95.56% recall and 97.58% complete precision  ...  To extract a pair of protein names and abbreviations, we have developed a hybrid system composed of the PROPER System and the PNAD System.  ...  This work was supported in part by a Grantin-Aid for Scientific Research on Priority Areas, 'Genome Science', from the Ministry of Education, Science, Sports and Culture in Japan, and JSPS Research Project  ... 
doi:10.1093/bioinformatics/16.2.169 pmid:10842739 fatcat:k2eywzb3pvdybbffwd5y6i6kfi

Abbreviation Expander - a Web-based System for Easy Reading of Technical Documents

Manuel R. Ciosici, Ira Assent
2018 International Conference on Computational Linguistics  
Here, we present Abbreviation Expander, a system that builds on state of the art methods for identification of abbreviations, acronyms and their definitions and a novel disambiguator for abbreviation expansion  ...  Abbreviations and acronyms are a part of textual communication in most domains. However, abbreviations are not necessarily defined in documents that employ them.  ...  The Dictionary Annotator component uses a dictionary of unambiguous abbreviations and acronyms, that we automatically extracted from English Wikipedia.  ... 
dblp:conf/coling/CiosiciA18 fatcat:fiqd74cuejbe5dsvdg342k6qxe

Extracting Useful Information from Clinical Notes

Yue Wang, Hui Fang
2016 Text Retrieval Conference  
Therefore, we proposed a method to extract important information from the clinical notes for retrieval. In addition, we also explored the expansion algorithms for abbreviation expansion.  ...  Therefore, we could extract the key message from the note query by identifying the noun phrases.  ...  The second one is how to identify the abbreviations from the regular terms, and how to expand the abbreviations in order to enrich the query term.  ... 
dblp:conf/trec/WangF16 fatcat:vh6gfrm355avdmh6w6brvvfnpm

An Algorithm to Identify Abbreviations from MEDLINE

Hiroko Ao, Toshihisa Takagi
2003 Genome Informatics Series  
Discussion ALICE is effective in extracting abbreviations from MEDLINE abstracts as it covers any kinds of them without limiting research fields.  ...  They were selected randomly from MED-LINE (PMID 12500000∼12599999). This system extracted pairs of abbreviations and expansions, or acronyms and definitions with 96% precision and 98% recall.  ... 
doi:10.11234/gi1990.14.697 fatcat:ftkqvp2zhza5dode2s2pdvmv4u

Determining abbreviations in Kariyer.net domain

Isilay Tuncer, Kemal Can Kara, Askin Karakas
2020 New Trends and Issues Proceedings on Advances Pure and Applied Sciences  
In the second step, sentences with abbreviations and their meanings in the dataset are defined by the rules determined by Regex.  ...  In this paper, studies determining abbreviations and their meanings in job texts are explained. The data used in this study consist of job texts stored in the Kariyer.net database.  ...  Similar studies It is important to determine and understand the abbreviations correctly in order to reach meaningful results from the analysis of the whole text.  ... 
doi:10.18844/gjpaas.v0i12.4980 fatcat:mmh2tfjiqnd7bdg7ax7g2xoisi

ShARe/CLEF eHealth 2013 Normalization of Acronyms/Abbreviations Challenge

Jon D. Patrick, Leila Safari, Ying Ou
2013 Conference and Labs of the Evaluation Forum  
This paper describes using of a machine learner to automatically extract spans of abbreviations and acronyms from clinical notes and map them to the UMLS (Unified Medical Language System) CUI (Concept  ...  Unique Identifier).  ...  identifier from the defined medical terminology, UMLS.  ... 
dblp:conf/clef/PatrickSO13a fatcat:7c7trbp2g5ctxnnywsgqx7n2gy

A General Approach to Extracting Full Names and Abbreviations for Chinese Entities from the Web [chapter]

Guang Jiang, Cao Cungen, Sui Yuefei, Han Lu, Shi Wang
2010 IFIP Advances in Information and Communication Technology  
In this paper, we propose a general extraction method of extracting full names/abbreviations from Chinese Web corpora.  ...  Identifying Full names/abbreviations for entities is a challenging problem in many applications, e.g. question answering and information retrieval.  ...  Fig. 1 . 1 Extract Abbreviations/Full names of Entity E from the Web Algorithm 1 . 1 Full name/ Abbreviation Extract Algorithm (FAEA) 1.  ... 
doi:10.1007/978-3-642-16327-2_33 fatcat:dxvz37cp25dk7jmsc3vozws5gi

MBA: a literature mining system for extracting biomedical abbreviations

Yun Xu, ZhiHao Wang, YiMing Lei, YuZhong Zhao, Yu Xue
2009 BMC Bioinformatics  
One such challenge is from the use of a great deal of abbreviations.  ...  It can identify the definition of not only acronym-type abbreviations including a little irregular acronym-type abbreviations (e.g., ), but also non-acronym-type abbreviations (e.g., ).  ...  In this paper we present a systematic method for extracting biomedical abbreviations.  ... 
doi:10.1186/1471-2105-10-14 pmid:19134199 pmcid:PMC2639376 fatcat:ugsse7ayjjhidgyzmalylj3qt4

A Simple Approach to Abbreviation Resolution at BARR2, IberEval 2018

José Castaño, Pilar Ávila, David Pérez, Hernán Berinsky, Hee Park, Maria Laura Gambarte, Daniel R. Luna
2018 Annual Conference of the Spanish Society for Natural Language Processing  
Understanding their meaning constitutes an important problem in the automatic extraction and mining of information from text.  ...  Here we present an approach to identify acronyms and abbreviations for the BARR2 competition.  ...  expression (also called short forms) refers to in a text in order to accurately identify and extract target information.  ... 
dblp:conf/sepln/CastanoAPBPGL18 fatcat:6io5ne3ulngqlmcltjowalbtc4
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