Kernel-based learning algorithms have been shown to achieve state-of-the-art results in many Natural Language Processing (NLP) tasks. We present KELP, a Java framework that supports the implementation of both kernel-based learning algorithms and kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms: once a new kernel function has been implemented it can be adopted in all the available kernelmachine algorithms. The platform includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. This paper will show the main aspects of the framework by applying it to different NLP tasks.

Filice, S., Castellucci, G., Croce, D., & Basili, R. (2015). KeLP: A kernel-based learning platform for natural language processing. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations (pp.19-24). Association for Computational Linguistics (ACL).

KeLP: A kernel-based learning platform for natural language processing

CROCE, DANILO;BASILI, ROBERTO
2015

Abstract

Kernel-based learning algorithms have been shown to achieve state-of-the-art results in many Natural Language Processing (NLP) tasks. We present KELP, a Java framework that supports the implementation of both kernel-based learning algorithms and kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms: once a new kernel function has been implemented it can be adopted in all the available kernelmachine algorithms. The platform includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. This paper will show the main aspects of the framework by applying it to different NLP tasks.
53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2015
chn
2015
Rilevanza internazionale
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
English
Language and Linguistics; Pollution
Intervento a convegno
Filice, S., Castellucci, G., Croce, D., & Basili, R. (2015). KeLP: A kernel-based learning platform for natural language processing. In ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Proceedings of System Demonstrations (pp.19-24). Association for Computational Linguistics (ACL).
Filice, S; Castellucci, G; Croce, D; Basili, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/157913
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