Paper: Automatic and Human Scoring of Word Definition Responses

ACL ID N07-1060
Title Automatic and Human Scoring of Word Definition Responses
Venue Human Language Technologies
Session Main Conference
Year 2007
Authors

Assessing learning progress is a critical step in language learning applications and experiments. In word learning, for exam- ple, one important type of assessment is a definition production test, in which sub- jects are asked to produce a short defini- tion of the word being learned. In current practice, each free response is manually scored according to how well its mean- ing matches the target definition. Manual scoring is not only time-consuming, but also limited in its flexibility and ability to detect partial learning effects. This study describes an effective auto- matic method for scoring free responses to definition production tests. The algo- rithm compares the text of the free re- sponse to the text of a reference definition using a statistical model of text semantic similarity ...