Publications

April 13, 2007

Ronen Feldman last year posed a grand challenge problem for text mining: to create "systems that will be able to pass standard reading comprehension tests such as SAT, GRE, GMAT etc."

Feldman is one of the great authorities of the field, a computer science professor, author, and co-founder of text-analytics vendor ClearForest. No one is more qualified to suggest text mining's research agenda than he. Indeed, the aim of Feldman and his 2006 SIGKDD co-authors proposing Data Mining Grand Challenges goes far beyond research. It is to "get researchers, press, funding agencies, venture capitalists, and public interested, greatly stimulate research, and produce dramatic advances in science and technology." This is a worthy vision and goal.

Yet I feel that Feldman's proposed SAT-reading test is incomplete in a number of significant ways:

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