Evaluating Compound Splitting Extrinsically with Textual Entailment

Jagfeld, Glorianna and Ziering, Patrick and van der Plas, Lonneke (2017) Evaluating Compound Splitting Extrinsically with Textual Entailment. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Short Papers),. Association for Computational Linguistics, CAN, pp. 58-63. ISBN 9781945626760

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Abstract

Traditionally, compound splitters are evaluated intrinsically on gold-standard data or extrinsically on the task of statistical machine translation. We explore a novel way for the extrinsic evaluation of compound splitters, namely recognizing textual entailment. Compound splitting has great potential for this novel task that is both transparent and well-defined. Moreover, we show that it addresses certain aspects that are either ignored in intrinsic evaluations or compensated for by taskinternal mechanisms in statistical machine translation. We show significant improvements using different compound splitting methods on a German textual entailment dataset.

Item Type: Contribution in Book/Report/Proceedings
Departments: Faculty of Health and Medicine > Health Research
ID Code: 130537
Deposited By: ep_importer_pure
Deposited On: 23 Jan 2019 10:05
Refereed?: Yes
Published?: Published
Last Modified: 04 Nov 2019 14:25
URI: https://eprints.lancs.ac.uk/id/eprint/130537

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