• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 23 matches

• 2020
• 
  Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn:
  Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. BioNLP 2020: 177-186
• 
  Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn:
  Global Public Health Surveillance Using Media Reports: Redesigning GPHIN. MIE 2020: 843-847
• 
  Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace:
  Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020. Association for Computational Linguistics 2020 [contents]
• 
  Dave Carter, Marta Stojanovic, Philip Hachey, Kevin Fournier, Simon Rodier, Yunli Wang, Berry de Bruijn:
  Global Public Health Surveillance using Media Reports: Redesigning GPHIN. CoRR abs/2004.04596 (2020)
• 
  Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn:
  Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience. CoRR abs/2006.05281 (2020)
• 2019
• 
  Isar Nejadgholi, Kathleen C. Fraser, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
  Recognizing UMLS Semantic Types with Deep Learning. LOUHI@EMNLP 2019: 157-167
• 
  Kathleen C. Fraser, Isar Nejadgholi, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
  Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. CoRR abs/1910.01274 (2019)
• 2018
• 
  Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
  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. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018)
• 
  Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
  NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. CoRR abs/1805.04558 (2018)
• 2017
• 
  Svetlana Kiritchenko, Saif M. Mohammad, Jason Morin, Berry de Bruijn:
  NRC-Canada at SMM4H Shared Task: Classifying Tweets Mentioning Adverse Drug Reactions and Medication Intake. SMM4H@AMIA 2017: 1-11
• 2013
• 
  Colin Cherry, Xiaodan Zhu, Joel D. Martin, Berry de Bruijn:
  À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge. J. Am. Medical Informatics Assoc. 20(5): 843-848 (2013)
• 
  Xiaodan Zhu, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Berry de Bruijn:
  Detecting concept relations in clinical text: Insights from a state-of-the-art model. J. Biomed. Informatics 46(2): 275-285 (2013)
• 2011
• 
  Berry de Bruijn, Colin Cherry, Svetlana Kiritchenko, Joel D. Martin, Xiaodan Zhu:
  Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J. Am. Medical Informatics Assoc. 18(5): 557-562 (2011)
• 
  Berry de Bruijn:
  Revisiting the Area Under the ROC. MIE 2011: 532-536
• 2010
• 
  Svetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel D. Martin, Ida Sim:
  ExaCT: automatic extraction of clinical trial characteristics from journal publications. BMC Medical Informatics Decis. Mak. 10: 56 (2010)
• 2008
• 
  Berry de Bruijn, Simona Carini, Svetlana Kiritchenko, Joel D. Martin, Ida Sim:
  Automated Information Extraction of Key Trial Design Elements from Clinical Trial Publications. AMIA 2008
• 2006
• 
  Berry de Bruijn, Ann Cranney, Siobhan O'Donnell, Joel D. Martin, Alan J. Forster:
  Case Report: Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports. J. Am. Medical Informatics Assoc. 13(6): 696-698 (2006)
• 2003
• 
  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:
  PreBIND and Textomy - mining the biomedical literature for protein-protein interactions using a support vector machine. BMC Bioinform. 4: 11 (2003)
• 
  Jeffrey Demaine, Joel D. Martin, Berry de Bruijn:
  Haystacks and hypotheses. ASIST 2003: 59-64
• 
  Berry de Bruijn, Joel D. Martin:
  Finiding Gene Function using LitMiner. TREC 2003: 451-459
• 2002
• 
  Berry de Bruijn, Joel D. Martin:
  Getting to the (c)ore of knowledge: mining biomedical literature. Int. J. Medical Informatics 67(1-3): 7-18 (2002)
• 2001
• 
  Alain Désilets, Berry de Bruijn, Joel D. Martin:
  Extracting Keyphrases from Spoken Audio Documents. SIGIR Workshop: Information Retrieval Techniques for Speech Applications 2001: 36-50
• 2000
• 
  Berry de Bruijn, Arie Hasman, Jan Willem Arends:
  Supporting the classification of pathology reports: comparing two information retrieval methods. Comput. Methods Programs Biomed. 62(2): 109-113 (2000)