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A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks

  • This paper presents a hybrid pronoun resolution system for German. It uses a simple rule-driven entity-mention formalism to incrementally process discourse entities. Antecedent selection is performed based on Markov Logic Networks (MLNs). The hybrid architecture yields a cheap problem formulation in the MLNs w.r.t. inference complexity but pertains their expressiveness. We compare the system to a rule-driven baseline and an extension which uses a memory-based learner. We find that the MLN hybrid outperforms its competitors by large margins.

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  • Main Conference Proceedings of the 12th Konvens 2014

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Metadaten
Author:Don Tuggener, Manfred Klenner
URN:https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2650
ISBN:978-3-934105-46-1
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2014/10/22
Release Date:2014/10/22
Tag:Dialogue; Discourse; Pragmatics
GND Keyword:Dialog; Diskurs; Pragmatik
Source:Proceedings of the 12th edition of the KONVENS conference Vol. 1. - Hildesheim
PPN:Link zum Katalog
Institutes:Fachbereich III / Informationswissenschaft und Sprachtechnologie
DDC classes:400 Sprache / 400 Sprache, Linguistik
Collections:KONVENS 2014 / Proceedings of the 12th KONVENS 2014
Licence (German):License LogoCreative Commons - Namensnennung 3.0