Supporting the classification of pathology reports: comparing two information retrieval methods. - Berry de Bruijn; Arie Hasman; Jan Willem Arends (Comput. Methods Programs Biomed., 2000)

Extracting Keyphrases from Spoken Audio Documents. - Alain Désilets; Berry de Bruijn; Joel D. Martin (SIGIR Workshop: Information Retrieval Techniques for Speech Applications, 2001)

Getting to the (c)ore of knowledge: mining biomedical literature. - Berry de Bruijn; Joel D. Martin (Int. J. Medical Informatics, 2002)

Haystacks and hypotheses. - Jeffrey Demaine; Joel D. Martin; Berry de Bruijn (ASIST, 2003)

Finiding Gene Function using LitMiner. - Berry de Bruijn; Joel D. Martin (TREC, 2003)

PreBIND and Textomy - mining the biomedical literature for protein-protein interactions using a support vector machine. - Ian M. Donaldson; Joel D. Martin; Berry de Bruijn; Cheryl Wolting; Vicki Lay; Brigitte Tuekam; Shudong Zhang; Berivan Baskin; Gary D. Bader; Katerina Michalickova; Tony Pawson; Christopher W. V. Hogue (BMC Bioinform., 2003)

Case Report: Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports. - Berry de Bruijn; Ann Cranney; Siobhan O'Donnell; Joel D. Martin; Alan J. Forster (J. Am. Medical Informatics Assoc., 2006)

Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications. - Berry de Bruijn; Simona Carini; Svetlana Kiritchenko; Joel D. Martin; Ida Sim (AMIA, 2008)

ExaCT: automatic extraction of clinical trial characteristics from journal publications. - Svetlana Kiritchenko; Berry de Bruijn; Simona Carini; Joel D. Martin; Ida Sim (BMC Medical Informatics Decis. Mak., 2010)

Revisiting the Area Under the ROC. - Berry de Bruijn (MIE, 2011)

Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. - Berry de Bruijn; Colin Cherry; Svetlana Kiritchenko; Joel D. Martin; Xiaodan Zhu 001 (J. Am. Medical Informatics Assoc., 2011)

À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. - Colin Cherry; Xiaodan Zhu 001; Joel D. Martin; Berry de Bruijn (J. Am. Medical Informatics Assoc., 2013)

Detecting concept relations in clinical text: Insights from a state-of-the-art model. - Xiaodan Zhu 001; Colin Cherry; Svetlana Kiritchenko; Joel D. Martin; Berry de Bruijn (J. Biomed. Informatics, 2013)

NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. - Svetlana Kiritchenko; Saif M. Mohammad; Jason Morin; Berry de Bruijn (SMM4H@AMIA, 2017)

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task. - Abeed Sarker; Maksim Belousov; Jasper Friedrichs; Kai Hakala; Svetlana Kiritchenko; Farrokh Mehryary; Sifei Han; Tung Tran 001; Anthony Rios; Ramakanth Kavuluru; Berry de Bruijn; Filip Ginter; et al. (J. Am. Medical Informatics Assoc., 2018)

Recognizing UMLS Semantic Types with Deep Learning. - Isar Nejadgholi; Kathleen C. Fraser; Berry de Bruijn; Muqun Li; Astha LaPlante; Khaldoun Zine El Abidine (LOUHI@EMNLP, 2019)

Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. - Kathleen C. Fraser; Isar Nejadgholi; Berry de Bruijn; Muqun Li; Astha LaPlante; Khaldoun Zine El Abidine (CoRR, 2019)

Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. - Isar Nejadgholi; Kathleen C. Fraser; Berry de Bruijn (BioNLP, 2020)

Global Public Health Surveillance Using Media Reports: Redesigning GPHIN. - Dave Carter; Marta Stojanovic; Philip Hachey; Kevin Fournier; Simon Rodier; Yunli Wang; Berry de Bruijn (MIE, 2020)