ML Anthology

Fast and Effective Kernels for Relational Learning from Texts

Alessandro Moschitti, Fabio Massimo Zanzotto
ICML 2007 pp. 649-656
doi:10.1145/1273496.1273578 /icml/2007/moschitti2007icml-fast/

Abstract

In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such models by optimizing the dynamic programming algorithm of the kernel evaluation. Experiments with Support Vector Machines and the above kernels show the effectiveness and efficiency of our approach on two very important natural language tasks, Textual Entailment Recognition and Question Answering.

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Cite

Text

Moschitti and Zanzotto. "Fast and Effective Kernels for Relational Learning from Texts." International Conference on Machine Learning, 2007. doi:10.1145/1273496.1273578

Markdown

[Moschitti and Zanzotto. "Fast and Effective Kernels for Relational Learning from Texts." International Conference on Machine Learning, 2007.](https://mlanthology.org/icml/2007/moschitti2007icml-fast/) doi:10.1145/1273496.1273578

BibTeX

@inproceedings{moschitti2007icml-fast,
  title     = {{Fast and Effective Kernels for Relational Learning from Texts}},
  author    = {Moschitti, Alessandro and Zanzotto, Fabio Massimo},
  booktitle = {International Conference on Machine Learning},
  year      = {2007},
  pages     = {649-656},
  doi       = {10.1145/1273496.1273578},
  url       = {https://mlanthology.org/icml/2007/moschitti2007icml-fast/}
}