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kLogNLP :
kLogNLP : Graph Kernel–based Relational Learning of Natural Language
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- Verbeke, Mathias (författare)
- Department of Computer Science, KU Leuven, Leuven, Belgium
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- Frasconi, Paolo (författare)
- Dipartimento di Sistemi e Informatica, Università degli Studi di Firenze, Firenze, Italy
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- De Grave, Kurt (författare)
- Department of Computer Science, KU Leuven, Leuven, Belgium
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- Costa, Fabrizio (författare)
- Institut für Informatik, Albert-Ludwigs-Universität, Germany
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- De Raedt, Luc, 1964- (författare)
- Department of Computer Science, KU Leuven, Leuven, Belgium
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(creator_code:org_t)
- Association for Computational Linguistics, 2014
- 2014
- Engelska.
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Ingår i: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. - : Association for Computational Linguistics. - 9781941643006 ; , s. 85-90
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Ämnesord
Stäng
- kLog is a framework for kernel-basedlearning that has already proven success-ful in solving a number of relational tasksin natural language processing. In this pa-per, we presentkLogNLP, a natural lan-guage processing module for kLog. Thismodule enriches kLog with NLP-specificpreprocessors, enabling the use of exist-ing libraries and toolkits within an elegantand powerful declarative machine learn-ing framework. The resulting relationalmodel of the domain can be extended byspecifying additional relational features ina declarative way using a logic program-ming language. This declarative approachoffers a flexible way of experimentationand a way to insert domain knowledge.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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