AUTOMATED SCORING OF SHORT-ANSWER OPEN-ENDED GRE®SUBJECT TEST ITEMS
نویسندگان
چکیده
منابع مشابه
Effective Feature Integration for Automated Short Answer Scoring
A major opportunity for NLP to have a realworld impact is in helping educators score student writing, particularly content-based writing (i.e., the task of automated short answer scoring). A major challenge in this enterprise is that scored responses to a particular question (i.e., labeled data) are valuable for modeling but limited in quantity. Additional information from the scoring guideline...
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We describe a system that grades learner answers in reading comprehension tests in the context of foreign language learning. This task, also known as short answer scoring, essentially requires determining whether a semantic entailment relationship holds between an individual learner answer and a target answer; thus semantic information is a necessary part of any automatic short answer scoring s...
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Neural approaches to automated essay scoring have recently shown state-of-theart performance. The automated essay scoring task typically involves a broad notion of writing quality that encompasses content, grammar, organization, and conventions. This differs from the short answer content scoring task, which focuses on content accuracy. The inputs to neural essay scoring models – ngrams and embe...
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ژورنال
عنوان ژورنال: ETS Research Report Series
سال: 2008
ISSN: 2330-8516
DOI: 10.1002/j.2333-8504.2008.tb02106.x