Also known as: jcinfo
James Clarke is an internationally recognized expert in natural language processing (NLP). Experienced in translating ideas and techniques from the research literature into working implementations and building them further. Develops methodologies and frameworks to aid building high-level text understanding applications. This includes frameworks to integrate and scale natural language processing and machine learning components. His research has focused on statistical natural language processing and machine learning. He has worked on a variety of problems including information extraction, extracting semantic information and actionable knowledge from text, automatic text summarization, and machine translation. In he received the best paper award at the Conference on Empirical Methods for Natural Language Processing (EMNLP) for his PhD work on incorporating discourse information into automatic text summarization via constraints. James is a full-stack programmer. He is capable of developing broad applications that include novel text analytics and machine learning systems and building, web application front-ends, data processing workflows, data storage solutions, and software services. Programming languages of choice Java, Python and Unix tools HTMLCSSJavascript with PHP or Python for front-end work. Technologies Apache Thrift, MongoDB, Condor, Solr, Data Warehousing, Git, Subversion, Maven, web.py, RESTful APIs, Service-oriented architecture Specialties Natural Language Processing, Computational Linguistics, Automatic Summarization, Machine Learning, Structured Learning, Information Extraction, Integer Linear Programming Model Building, Artificial Intelligence
