Automated synthesis of biodiversity knowledge requires better tools and standardised research output-Reference-Cited by-同舟云学术

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Automated synthesis of biodiversity knowledge requires better tools and standardised research output

Published:2022-02-18 Issue:3 Volume:2022 Page:
ISSN:0906-7590
Container-title:Ecography
language:en
Short-container-title:Ecography

Author:

Cornford Richard¹²³^ORCID,Millard Joseph⁴⁵^ORCID,González‐Suárez Manuela⁶^ORCID,Freeman Robin²,Johnson Thomas Frederick⁷^ORCID

Affiliation:

1. Dept of Life Sciences, Imperial College London London UK

2. Inst. of Zoology, Zoological Society of London London UK

3. Dept of Life Sciences, Natural History Museum London UK

4. Dept of Genetics, Evolution and Environment, Univ. College London London UK

5. Leverhulme Centre for Demographic Science, Univ. of Oxford Oxford UK

6. School of Biological Sciences, Univ. of Reading Reading UK

7. Dept of Animal and Plant Sciences, Univ. of Sheffield Sheffield UK

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.06068

Reference65 articles.

1. NetiNeti: discovery of scientific names from text using machine learning methods

2. Tapping into non-English-language science for the conservation of global biodiversity

3. Supporting Systematic Reviews Using Text Mining

4. Trends in ecology and conservation over eight decades

5. Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence

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1. Large language models help facilitate the automated synthesis of information on potential pest controllers;Methods in Ecology and Evolution;2024-05-20

2. Large language models help facilitate the automated synthesis of information on potential pest controllers;2024-01-15

3. Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation;Ecological Informatics;2023-07

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