Stopwords in Technical Language Processing
June 04, 2020 Β· Declared Dead Β· π PLoS ONE
"No code URL or promise found in abstract"
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Authors
Serhad Sarica, Jianxi Luo
arXiv ID
2006.02633
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
166
Venue
PLoS ONE
Last Checked
4 months ago
Abstract
There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts. A standard component of such tasks is the removal of stopwords, which are uninformative components of the data. While researchers use readily available stopword lists which are derived for general English language, the technical jargon of engineering fields contains their own highly frequent and uninformative words and there exists no standard stopword list for technical language processing applications. Here we address this gap by rigorously identifying generic, insignificant, uninformative stopwords in engineering texts beyond the stopwords in general texts, based on the synthesis of alternative data-driven approaches, and curating a stopword list ready for technical language processing applications.
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