J
John McNaught
Researcher at University of Manchester
Publications - 106
Citations - 3812
John McNaught is an academic researcher from University of Manchester. The author has contributed to research in topics: Information extraction & Context (language use). The author has an hindex of 28, co-authored 105 publications receiving 3508 citations.
Papers
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Book ChapterDOI
Developing a robust part-of-speech tagger for biomedical text
Yoshimasa Tsuruoka,Yuka Tateishi,Jin-Dong Kim,Tomoko Ohta,John McNaught,Sophia Ananiadou,Jun'ichi Tsujii +6 more
TL;DR: Experimental results on the Wall Street Journal corpus, the GENIA corpus, and the PennBioIE corpus revealed that adding training data from a different domain does not hurt the performance of a tagger, and the authors' tagger exhibits very good precision on all these corpora.
Journal ArticleDOI
Using text mining for study identification in systematic reviews: a systematic review of current approaches
TL;DR: Using text mining to prioritise the order in which items are screened should be considered safe and ready for use in ‘live’ reviews, and the use of text mining as a ‘second screener’ may also be used cautiously.
Book
Text Mining for Biology And Biomedicine
Sophia Ananiadou,John McNaught +1 more
TL;DR: Introduction to Text Mining for Biology, Levels of Natural Language Processing for Text Mining, and Integrating Text Mining with Data Mining.
Journal ArticleDOI
Text mining and ontologies in biomedicine: Making sense of raw text
TL;DR: This paper summarises different approaches in which ontologies have been used for text-mining applications in biomedicine.
Journal ArticleDOI
Applications of text mining within systematic reviews
TL;DR: It is concluded that text mining technologies do have the potential to assist at various stages of the review process, however, they are relatively unknown in the systematic reviewing community, and substantial evaluation and methods development are required before their possible impact can be fully assessed.