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class="hero-text-content"> <h1 class="forstaffpages" style="opacity: 1;">Natural Language Processing</h1> </div> </div> </header> <main id="main-content"> <section class="usa-section"> <div class="usa-grid"> <div class="focus-area-row intro-text"> NLM鈥檚 natural language processing (NLP), or text mining, research focuses on the development and evaluation of computer algorithms for automated text analysis. This area of research works primarily with text from the biomedical literature or electronic medical records and examines a wide variety of NLP tasks, including information extraction, literature searches, question answering, and text summarization. </div> <div class="member-container"> <article class="focus-area-row"> <div class="image-wrapper"><a href="/research/researchstaff/DemnerFushmanDina.html"><img src="/research/img/DinaDemnerFushman.jpg" alt="Image of Dina Demner-Fushman, MD, PhD" /></a> <h3><a href="/research/researchstaff/DemnerFushmanDina.html">Dina Demner-Fushman, MD, PhD</a></h3> Tenure Track Investigator, Computational Health Research Branch</div> <div class="detail-wrapper"> <h4>Dina Demner-Fushman, MD, PhD</h4> <ul> <li>Investigating biomedical question answering</li> <li>Developing the InfoBOT clinical decision support system (at the NIH Clinical Center)</li> <li>Leading the Consumer Health Question Answering project, which supports finding answers, in MedlinePlus 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