The William and Flora Hewlett Foundation sponsored a competition that pitted nine scoring engines against each other. In the ten years since, research into making automated essay scoring more accurate has exploded. I became comfortable, if not entirely conversant, with the concepts of natural language processing, n-dimensional word spaces, and contextual linguistic relationships. I worked with a Boulder, Colorado-based company when it was acquired by Pearson a decade ago that, at the time, had already gone far beyond the crude word-and-sentence-length counting approach of other so-called “intelligent” essay graders. Rock ‘em Sock’em RobotsĪutomated (or “machine”) essay scoring isn’t new. And that may be positive news for edtech’s current believability-challenged poster child: automated essay scoring. Yet technologies stuck in this particular uncanny valley do occasionally manage to get free-if the conditions are right. For a long time, the de facto definition of AI was essentially, “That stuff computers can’t do yet.” Just consider the case of poor, and poorly described, artificial intelligence applications. Many times, the last is the hardest to overcome. One: Are potential customers aware of it? Two: Does the technology work? Three: Do potential customers actually believe that the technology works? 238000000638 solvent extraction Methods 0.For a new technology to make it in the market it must hurdle three big barriers.238000004450 types of analysis Methods 0.000 description 4.238000003058 natural language processing Methods 0.000 description 4.230000000877 morphologic Effects 0.000 claims description 4.238000004458 analytical method Methods 0.000 claims description 30.Assignors: BRADEN-HARDER, LISA, BURSTEIN, JILL C., CHODOROW, MARTIN S., KAPLAN, BRUCE A., KUKICH, KAREN, LU, CHI, ROCK, DONALD A., WOLF, SUSANNE Application granted granted Critical Publication of US6366759B1 publication Critical patent/US6366759B1/en Anticipated expiration legal-status Critical Status Expired - Lifetime legal-status Critical Current Links Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Priority to US5337597P priority Critical Priority to US09/120,427 priority patent/US6181909B1/en Application filed by Educational Testing Service filed Critical Educational Testing Service Priority to US09/693,210 priority patent/US6366759B1/en Assigned to EDUCATIONAL TESTING SERVICE reassignment EDUCATIONAL TESTING SERVICE ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Original Assignee Educational Testing Service Priority date (The priority date is an assumption and is not a legal conclusion.
Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) Rock Susanne Wolff Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Expired - Lifetime Application number US09/693,210 Inventor Jill C.
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Google Patents System and method for computer-based automatic essay scoringĭownload PDF Info Publication number US6366759B1 US6366759B1 US09/693,210 US69321000A US6366759B1 US 6366759 B1 US6366759 B1 US 6366759B1 US 69321000 A US69321000 A US 69321000A US 6366759 B1 US6366759 B1 US 6366759B1 Authority US United States Prior art keywords essay score argument vector essays Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US6366759B1 - System and method for computer-based automatic essay scoring US6366759B1 - System and method for computer-based automatic essay scoring
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