Bibliographic Details
| Title: |
Using Lexical Semantic Techniques To Classify Free-Responses. |
| Language: |
English |
| Authors: |
Burstein, Jill, Wolff, Susanne, Lu, Chi |
| Peer Reviewed: |
N |
| Page Count: |
19 |
| Publication Date: |
2001 |
| Document Type: |
Reports - Evaluative |
| Descriptors: |
Essays, Performance Based Assessment, Scoring, Test Items, Training |
| Abstract: |
The research described in this paper shows the use of lexical semantic techniques for automated scoring of short-answer and essay responses from performance-based test items. Researchers used lexical semantic techniques in order to identify the meaningful content of free-text responses for small data sets. One data set involved 172 training responses in a formulating hypotheses situation, with 32 categories. A second set contained 200 training responses and 228 test items, also of the formulating hypotheses type. The third set consisted of 200 essays from a paper-and-pencil test that had been rated "excellent" by human raters. The research demonstrated applications of lexical semantic techniques for free-text responses of varying length and in different subject domains. Prototype designs and the results of the different prototype applications are discussed. (Contains 5 tables and 23 references.) (SLD) |
| Entry Date: |
2002 |
| Accession Number: |
ED458268 |
| Database: |
ERIC |