Hamish Cunningham|Valentin Tablan|Angus Roberts|Kalina Bontcheva
Getting More Out of Biomedical Documents with GATE's Full Lifecycle Open Source Text Analytics
University of Sheffield|University of Sheffield|University of Sheffield|University of Sheffield
software article describes gate family open source text analysis tools processes gate one widely used systems type yearly download rates tens thousands many active users academic industrial contexts paper report three examples gatebased systems operating life sciences medicine first genomewide association studies contributed discovery head neck cancer mutation association second medical records analysis significantly increased statistical power treatmentoutcome models uks largest psychiatric patient cohort third richer constructs drugrelated searching also explore ways gate family supports various stages lifecycle present examples conclude deployment text mining document abstraction rich search navigation best thought process right computational tools data collection strategies process made defined repeatable gate research programme 20 years old grown roots specialist development tool text processing become rather comprehensive ecosystem bringing together software developers language engineers research staff diverse fields gate strong claim cover uniquely wide range lifecycle text analysis systems forms focal point integration reuse advances made many people majority outside authors group work text processing biomedicine areas gate available online 1 gnu open source licences runs major operating systems support available active user developer community also commercial basis