Using lexicography to characterise relations between species mentions in the biodiversity literature-Reference-Cited by-同舟云学术

Using lexicography to characterise relations between species mentions in the biodiversity literature

Published:2019-05-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Digital Access to Textual Cultural Heritage
language:
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Author:

Young Sandra¹

Affiliation:

1. University of Brighton, Brighton, UK

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3322905.3322918

Reference47 articles.

1. Ontology construction from text: challenges and trends;Al-Arfaj Abeer;International Journal of Artificial Intelligence and Expert Systems (IJAE),2015

2. Laurence Anthony. 2017. AntFileConverter (Version 1.2.1) [Computer Software]. http://www.laurenceanthony.net/software Laurence Anthony. 2017. AntFileConverter (Version 1.2.1) [Computer Software]. http://www.laurenceanthony.net/software

3. Steven J Baskauf and CO Webb. 2016. Darwin-SW: Darwin Core-based terms for expressing biodiversity data as RDF. Semantic Web 7.6 (2016) 629--643. https://doi.org/10.3233/SW-150203 Steven J Baskauf and CO Webb. 2016. Darwin-SW: Darwin Core-based terms for expressing biodiversity data as RDF. Semantic Web 7.6 (2016) 629--643. https://doi.org/10.3233/SW-150203

4. Christopher Brewster and Yorick Wilks. 2004. Ontologies Taxonomies Thesauri: Learning from Texts. The Use of Computational Linguistics in the Extraction of Keyword Information from Digital Library Content Workshop (2004) 1--32. Christopher Brewster and Yorick Wilks. 2004. Ontologies Taxonomies Thesauri: Learning from Texts. The Use of Computational Linguistics in the Extraction of Keyword Information from Digital Library Content Workshop (2004) 1--32.