Apr 13, 2015 · Our method is based on supervised machine learning. Two strategies have been applied: a linear classification with a MaxEnt and a non-linear one ...
A Supervised Machine Learning. Approach for Taxonomic Relation Recognition through Non-linear Enumerative Structures. 30th. ACM Symposium on Applied Computing ...
In order to extend the taxonomic relation identification process, we thus propose a method for recognizing this relation through enumerative structures which ...
A Supervised Machine Learning ... We thus propose a method for recognizing the taxonomic relation borne by non-linear ESs. ... often expressed through non-linear ...
The work aims at extending works about semantic relation identification in texts for building taxonomies which constitute the backbone of ontologies on ...
Our method is based on supervised machine learning. Two strategies have been applied: a linear classification with a MaxEnt and a non-linear one with a SVM. The ...
A supervised machine learning approach for taxonomic relation recognition through non-linear enumerative structures. JP Fauconnier, M Kamel, B Rothenburger.
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Our method is based on supervised machine learning. Two strategies have been applied: a linear classification with a MaxEnt and a non-linear one with a SVM. The ...
A supervised machine learning approach for taxonomic relation recognition through non-linear enumerative structures ( JPF , MK , BR ), pp. ... approach ...
Accurate classification by minimizing the error on test samples is the main goal in pattern classification. Combinatorial optimization is a well-known ...