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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| Author: | Don Tuggener, Manfred Klenner |
|---|---|
| URN: | https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2650 |
| Parent Title (English): | Proceedings of the 12th edition of the KONVENS conference |
| 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 |
| First Page: | 21 |
| Last Page: | 31 |
| 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): |  Creative Commons - Namensnennung 3.0 |
