Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna (2014)
Predicting the Difficulty of Language Proficiency Tests.
In: Transactions of the Association for Computational Linguistics, 2 (1)
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Language proficiency tests are used to evaluate and compare the progress of language learners. We present an approach for automatic difficulty prediction of C-tests that performs on par with human experts. On the basis of detailed analysis of newly collected data, we develop a model for C-test difficulty introducing four dimensions: solution difficulty, candidate ambiguity, inter-gap dependency, and paragraph difficulty. We show that cues from all four dimensions contribute to C-test difficulty.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2014 |
| Autor(en): | Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Predicting the Difficulty of Language Proficiency Tests |
| Sprache: | Englisch |
| Publikationsjahr: | November 2014 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Transactions of the Association for Computational Linguistics |
| Jahrgang/Volume einer Zeitschrift: | 2 |
| (Heft-)Nummer: | 1 |
| URL / URN: | http://aclweb.org/anthology/Q14-1040 |
| Kurzbeschreibung (Abstract): | Language proficiency tests are used to evaluate and compare the progress of language learners. We present an approach for automatic difficulty prediction of C-tests that performs on par with human experts. On the basis of detailed analysis of newly collected data, we develop a model for C-test difficulty introducing four dimensions: solution difficulty, candidate ambiguity, inter-gap dependency, and paragraph difficulty. We show that cues from all four dimensions contribute to C-test difficulty. |
| Freie Schlagworte: | UKP_a_ENLP;reviewed;UKP_a_WALL;UKP_p_AutoExerGen |
| ID-Nummer: | TUD-CS-2014-0976 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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| Suche nach Titel in: | TUfind oder in Google |
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