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Detecting verbal participation in diathesis alternations

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posted on 2023-06-07, 14:12 authored by Diana Frances McCarthy, Anna Korhonen
We present a method for automatically identifying verbal participation in diathesis alternations. Automatically acquired subcategorization frames are compared to a hand-crafted classification for selecting candidate verbs. The minimum description length principle is then used to produce a model and cost for storing the head noun instances from a training corpus at the relevant argument slots. Alternating subcategorization frames are identified where the data from corresponding argument slots in the respective frames can be combined to produce a cheaper model than that produced if the data is encoded separately.

History

Publication status

  • Published

Journal

Proceedings of the 36th annual meeting on Association for Computational Linguistics

Publisher

Association for Computational Linguistics

Volume

2

Page range

1493-1495

Pages

1507.0

Book title

COLING-ACL '98L: Proceedings of the 36th annual meeting on Association for Computational Linguistics

Place of publication

Morristown, NJ, USA

ISBN

9781558605817

Series

Annual Meeting of the ACL

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2008-02-26

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