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Manual annotation of textual documents is a necessary task when constructing benchmark corpora for training and evaluating machine learning algorithms.
Using natural language processing to extract drug-drug interaction information from package inserts
Richard Boyce, Gregory Gardner, and Henk Harkema. 2012 · 2012
Earlier work this paper cites.
Automated classification of free-text pathology reports for registration of incident cases of cancer
Vianney Jouhet, Gautier Defossez, Anita. Burgun, Pierre Le Beux, P Levillain, Pierre Ingrand, and Vincent Claveau. 2012 · 2012
Earlier work this paper cites.
A survey on annotation tools for the biomedical literature
Mariana Neves and Ulf Leser. 2012 · 2012
Earlier work this paper cites.
Open-domain anatomical entity mention detection
Tomoko Ohta, Sampo Pyysalo, Jun’ichi Tsujii, and Sophia Ananiadou. 2012 · 2012
Earlier work this paper cites.
Pharmacovigilance on twitter? mining tweets for adverse drug reactions
Karen O’Connor, Pranoti Pimpalkhute, Azadeh Nikfarjam, Rachel Ginn, Karen L. Smith, and Graciela Gonzalez. 2014 · 2014
Cited alongside, same era.
Automatic semantic classification of scientific literature according to the hallmarks of cancer
Simon Baker, Ilona Silins, Yufan Guo, Imran Ali, Johan Högberg, Ulla Stenius, and Anna Korhonen. 2016 · 2016
Cited alongside, same era.
Collaborative Annotation for Reliable Natural Language Processing: Technical and Sociological Aspects , 1st edition
Karën Fort. 2016 · 2016
Cited alongside, same era.
A dataset for icd-10 coding of death certificates: Creation and usage
Thomas Lavergne, Aurelie Neveol, Aude Robert, Cyril Grouin, Grégoire Rey, and Pierre Zweigenbaum. 2016 · 2016
Later among the works it cites.
SciDTB: Discourse dependency treebank for scientific abstracts
An Yang and Sujian Li. 2018 · 2018
Later among the works it cites.
An extensive review of tools for manual annotation of documents
Mariana Neves and Jurica Ševa. 2019 · 2019
Later among the works it cites.
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