TU Darmstadt / ULB / TUbiblio

Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests

Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna (2015)
Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests.
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Beinborn, Lisa ; Zesch, Torsten ; Gurevych, Iryna
Type of entry: Bibliographie
Title: Candidate Evaluation Strategies for Improved Difficulty Prediction of Language Tests
Language: English
Date: 2015
Book Title: 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
Corresponding Links:
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.

Uncontrolled Keywords: Educational Natural Language Processing;UKP_a_WALL;UKP_reviewed;UKP_p_AutoExerGen
Identification Number: TUD-CS-2015-0066
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Last Modified: 24 Jan 2020 12:03
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)
Show editorial Details Show editorial Details