Discourse-sensitive automatic identification of generic expressions

  • This paper describes a novel sequence labeling method for identifying generic expressions, which refer to kinds or arbitrary members of a class, in discourse context. The automatic recognition of such expressions is important for any natural language processing task that requires text understanding. Prior work has focused on identifying generic noun phrases; we present a new corpus in which not only subjects but also clauses are annotated for genericity according to an annotation scheme motivated by semantic theory. Our contextaware approach for automatically identifying generic expressions uses conditional random fields and outperforms previous work based on local decisions when evaluated on this corpus and on related data sets (ACE-2 and ACE-2005).

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Metadaten
Author:Annemarie FriedrichORCiDGND, Manfred Pinkal
URN:urn:nbn:de:bvb:384-opus4-1056947
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/105694
ISBN:978-1-941643-72-3OPAC
Parent Title (English):Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), July 26-31, 2015, Beijing, China
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA
Editor:Chengqing Zong, Michael Strube
Type:Conference Proceeding
Language:English
Year of first Publication:2015
Publishing Institution:Universität Augsburg
Release Date:2023/07/10
First Page:1272
Last Page:1281
DOI:https://doi.org/10.3115/v1/p15-1123
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Sprachverstehen mit der Anwendung Digital Humanities
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Sonstige Open-Access-Lizenz