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Article
Validation of a Natural Language Machine Learning Model for Safety Literature Surveillance
As part of routine safety surveillance, thousands of articles of potential interest are manually triaged for review by safety surveillance teams. This manual triage task is an interesting candidate for automat...
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Article
Open AccessA framework for information extraction from tables in biomedical literature
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications. Text mining provided in the past methods to retrieve and extract informat...
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Chapter and Conference Paper
Disentangling the Structure of Tables in Scientific Literature
Within the scientific literature, tables are commonly used to present factual and statistical information in a compact way, which is easy to digest by readers. The ability to “understand” the structure of tabl...