Milward from Linguamatics Wins 2010 Evvie Award
April 28, 2010
The Search Engine Meeting, held this year in Boston, is one of the few events that focuses on the substance of information retrieval, not the marketing hyperbole of the sector. Entering its second decade, the conference speakers tackle challenging subjects. This year speakers addressed such topics as “Universal Composable Indexing” by Chris Biow, Mark Logic Corporation, “Innovations in Social Search” by Jeff Fried, Microsoft, and “From Structured to Unstructured and Back Again: Database Offloading”, by Gregory Grefenstette, Exalead, and a dozen other important topics.
From left to right: Sue Feldman, Vice President, IDC, Dr. David Milward, Liz Diamond, Stephen E. Arnold, and Eric Rogge, Exalead.
Each year, the best paper is recognized with the Evvie Award. The “Evvie” was created in honor of Ev Brenner, one of the pioneers in machine-readable content. After a distinguished career at the American Petroleum Institute, Ev served on the planning committee for the Search Engine Meeting and contributed his insights to many search and content processing companies. One of the questions I asked after each presentation was, “What did Ev think?”. I valued Ev Brenner’s viewpoint as did many others in the field.
The winner of this year’s Evvie award is David R. Milward, Linguamatics, for his paper “From Document Search to Knowledge Discovery: Changing the Paradigm.” Dr. Milward said:
Business success is often dependent on making timely decisions based on the best information available. Typically, for text information, this has meant using document search. However, the process can be accelerated by using agile text mining to provide decision-makers directly with answers rather than sets of documents. This presentation will review the challenges faced in bringing together diverse and extensive information resources to answer business-critical R&D questions in the pharmaceutical domain. In particular, it will outline how an agile NLPbased approach for discovering facts and relationships from free text can be used to leverage scientific knowledge and move beyond search to automated profiling and hypothesis generation from millions of documents in real time.
Dr. Milward has 20 years’ experience of product development, consultancy and research in natural language processing. He is a co-founder of Linguamatics, and designed the I2E text mining system which uses a novel interactive approach to information extraction. He has been involved in applying text mining to applications in the life sciences for the last 10 years, initially as a Senior Computer Scientist at SRI International. David has a PhD from the University of Cambridge, and was a researcher and lecturer at the University of Edinburgh. He is widely published in the areas of information extraction, spoken dialogue, parsing, syntax and semantics.
Presenting this year’s award was Eric Rogge, Exalead, and Liz Diamond, niece of Ev Brenner. The award winner received a recognition award and a check for $500. A special thanks to Exalead for sponsoring this year’s Evvie.
The judges for the 2010 Evvie were Dr. David Evans (Evans Research), Sue Feldman (IDC), and Jill O’Neill, NFAIS.
Congratulations, Dr. Milward.
Stuart Schram IV, April 28, 2010
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