Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna (2015)
Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Language proficiency tests are a useful tool for evaluating learner progress, if the test difficulty fits the level of the learner. In this work, we describe a generalized framework for test difficulty prediction that is applicable to several languages and test types. In addition, we develop two ranking strategies for candidate evaluation inspired by automatic solving methods based on language model probability and semantic relatedness. These ranking strategies lead to significant improvements for the difficulty prediction of cloze tests.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests |
| Sprache: | Englisch |
| Publikationsjahr: | 2015 |
| Buchtitel: | Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications held in conjunction with NAACL 2015 |
| URL / URN: | http://aclweb.org/anthology/W15-0601 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Language proficiency tests are a useful tool for evaluating learner progress, if the test difficulty fits the level of the learner. In this work, we describe a generalized framework for test difficulty prediction that is applicable to several languages and test types. In addition, we develop two ranking strategies for candidate evaluation inspired by automatic solving methods based on language model probability and semantic relatedness. These ranking strategies lead to significant improvements for the difficulty prediction of cloze tests. |
| Freie Schlagworte: | Educational Natural Language Processing;UKP_a_WALL;UKP_reviewed;UKP_p_AutoExerGen |
| ID-Nummer: | TUD-CS-2015-0066 |
| 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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