Using Lexical Semantic Techniques To Classify Free-Responses.
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| 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 |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED458268 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: ED458268 AccessLevel: 3 PubType: Report PubTypeId: report PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Using Lexical Semantic Techniques To Classify Free-Responses. – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burstein%2C+Jill%22">Burstein, Jill</searchLink><br /><searchLink fieldCode="AR" term="%22Wolff%2C+Susanne%22">Wolff, Susanne</searchLink><br /><searchLink fieldCode="AR" term="%22Lu%2C+Chi%22">Lu, Chi</searchLink> – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 19 – Name: DatePubCY Label: Publication Date Group: Date Data: 2001 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Evaluative – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Essays%22">Essays</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+Based+Assessment%22">Performance Based Assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Scoring%22">Scoring</searchLink><br /><searchLink fieldCode="DE" term="%22Test+Items%22">Test Items</searchLink><br /><searchLink fieldCode="DE" term="%22Training%22">Training</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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) – Name: DateEntry Label: Entry Date Group: Date Data: 2002 – Name: AN Label: Accession Number Group: ID Data: ED458268 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED458268 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 19 Subjects: – SubjectFull: Essays Type: general – SubjectFull: Performance Based Assessment Type: general – SubjectFull: Scoring Type: general – SubjectFull: Test Items Type: general – SubjectFull: Training Type: general Titles: – TitleFull: Using Lexical Semantic Techniques To Classify Free-Responses. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burstein, Jill – PersonEntity: Name: NameFull: Wolff, Susanne – PersonEntity: Name: NameFull: Lu, Chi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2001 |
| ResultId | 1 |
