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A machine-learning text-mining framework for large-scale synthesis of heterogeneous scientific literature: a case study of forest pests and pathogens

Documentation:
Data and code files for DPhil thesis "Forest loss as a consequence of invasive pathogens and their interactions with climate change" Chapter 4 A machine-learning text-mining framework for large-scale synthesis of heterogeneous scientific literature: a case study of forest pests and pathogens.

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Institution:
University of Oxford
Division:
SSD
Department:
SOGE
Sub department:
Environmental Change Institute
Oxford college:
Wolfson College
Role:
Creator
ORCID:
0000-0001-9449-6112


Publisher:
University of Oxford
Publication date:
2026
DOI:


Language:
English
Pubs id:
2466247
Local pid:
pubs:2466247
Deposit date:
2026-10-10
ARK identifier:

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