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Annual Meeting of the Association for Computational Lingusitics (ACL), Date: 2014/06/22 - 2014/06/27, Location: Baltimore, Maryland, USA

Publication date: 2014-06-01
Pages: 85 - 90
ISSN: 978-1-941643-00-6
Publisher: Association for Computational Linguistics

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Author:

Verbeke, Mathias
Frasconi, Paolo ; De Grave, Kurt ; Costa, Fabrizio ; De Raedt, Luc ; Bontcheva, Kalina ; Jingbo, Zhu

Keywords:

Science & Technology, Social Sciences, Technology, Computer Science, Artificial Intelligence, Computer Science, Interdisciplinary Applications, Linguistics, Computer Science

Abstract:

kLog is a framework for kernel-based learning that has already proven successful in solving a number of relational tasks in natural language processing. In this paper, we present kLogNLP, a natural language processing module for kLog. This module enriches kLog with NLP-specific preprocessors, enabling the use of existing libraries and toolkits within an elegant and powerful declarative machine learning framework. The resulting relational model of the domain can be extended by specifying additional relational features in a declarative way using a logic programming language. This declarative approach offers a flexible way of experimentation and a way to insert domain knowledge.