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Natural language processing

Modelling Creativity: Identifying Key Components through a Corpus-Based Approach

Anna Jordanous, Bill Keller

Enhancing Extraction of Drug-Drug Interaction from Literature Using Neutral Candidates, Negation, and Clause Dependency

Behrouz Bokharaeian, Alberto Diaz, Hamidreza Chitsaz

Event Recognition Based on Deep Learning in Chinese Texts

Yajun Zhang, Zongtian Liu, Wen Zhou, National Natural Science Foundation of China (NSFC)

Author Disambiguation in PubMed: Evidence on the Precision and Recall of Author-ity among NIH-Funded Scientists

Marc J. Lerchenmueller, Olav Sorenson

A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports

Chinmoy Nath, Mazen S. Albaghdadi, Siddhartha R. Jonnalagadda

Determinants of Smoking and Quitting in HIV-Infected Individuals

Susan Regan, James B. Meigs, Steven K. Grinspoon, Virginia A. Triant

Bio-SCoRes: A Smorgasbord Architecture for Coreference Resolution in Biomedical Text

Halil Kilicoglu, Dina Demner-Fushman

Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature

Ibrahim Burak Ozyurt, Jeffrey S. Grethe, Maryann E. Martone, Anita E. Bandrowski

Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts

Katherine P. Liao, Ashwin N. Ananthakrishnan, [ ... ], Tianxi Cai

Data-Driven Information Extraction from Chinese Electronic Medical Records

Dong Xu, Meizhuo Zhang, [ ... ], Kenny Q. Zhu

Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register

Ehtesham Iqbal, Robbie Mallah, [ ... ], Richard J. B. Dobson

pGenN, a Gene Normalization Tool for Plant Genes and Proteins in Scientific Literature

Ruoyao Ding, Cecilia N. Arighi, [ ... ], K. Vijay-Shanker

Assessing the Impact of Case Sensitivity and Term Information Gain on Biomedical Concept Recognition

Tudor Groza, Karin Verspoor

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