Literaturnachweis - Detailanzeige
| Autor/inn/en | Zesch, Torsten; Wojatzki, Michael; Scholten-Akoun, Dirk |
|---|---|
| Titel | Task-independent features for automated essay grading. |
| Quelle | Aus: Proceedings of the tenth workshop on innovative use of NLP for building educational applications. Stroudsburg PA: Association for Computational Linguistics (2015) S. 224-232
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| Beigaben | Illustrationen |
| Sprache | englisch |
| Dokumenttyp | online; Sammelwerksbeitrag |
| Schlagwörter | Bildungsforschung; Testauswertung; Prüfungsaufgabe; Sprachkompetenz |
| Abstract | Automated scoring of student essays is increasingly used to reduce manual grading effort. State-of-the-art approaches use supervised machine learning which makes it complicated to transfer a system trained on one task to another. We investigate which currently used features are task-independent and evaluate their transferability on English and German datasets. We find that, by using our task-independent feature set, models transfer better between tasks. We also find that the transfer works even better between tasks of the same type. (Orig.). |
| Erfasst von | Externer Selbsteintrag |
| Update | 2018/3 |
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