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    <titleInfo>
        <title>Classifying Patent Applications with Ensemble Methods</title>
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    <name type="personal">
        <namePart type="given">Fernando</namePart>
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            <title>Proceedings of the Australasian Language Technology Association Workshop 2018</title>
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            <namePart type="given">Xiuzhen</namePart>
            <namePart type="given">(Jenny)</namePart>
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    <abstract>We present methods for the automatic classification of patent applications using an annotated dataset provided by the organizers of the ALTA 2018 shared task - Classifying Patent Applications. The goal of the task is to use computational methods to categorize patent applications according to a coarse-grained taxonomy of eight classes based on the International Patent Classification (IPC). We tested a variety of approaches for this task and the best results, 0.778 micro-averaged F1-Score, were achieved by SVM ensembles using a combination of words and characters as features. Our team, BMZ, was ranked first among 14 teams in the competition.</abstract>
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%0 Conference Proceedings
%T Classifying Patent Applications with Ensemble Methods
%A Benites, Fernando
%A Malmasi, Shervin
%A Zampieri, Marcos
%Y Kim, Sunghwan Mac
%Y Zhang, Xiuzhen (Jenny)
%S Proceedings of the Australasian Language Technology Association Workshop 2018
%D 2018
%8 December
%C Dunedin, New Zealand
%F benites-etal-2018-classifying
%X We present methods for the automatic classification of patent applications using an annotated dataset provided by the organizers of the ALTA 2018 shared task - Classifying Patent Applications. The goal of the task is to use computational methods to categorize patent applications according to a coarse-grained taxonomy of eight classes based on the International Patent Classification (IPC). We tested a variety of approaches for this task and the best results, 0.778 micro-averaged F1-Score, were achieved by SVM ensembles using a combination of words and characters as features. Our team, BMZ, was ranked first among 14 teams in the competition.
%U https://aclanthology.org/U18-1012
%P 89-92

Markdown (Informal)

[Classifying Patent Applications with Ensemble Methods](https://aclanthology.org/U18-1012) (Benites et al., ALTA 2018)

• Classifying Patent Applications with Ensemble Methods (Benites et al., ALTA 2018)

ACL

• Fernando Benites, Shervin Malmasi, and Marcos Zampieri. 2018. Classifying Patent Applications with Ensemble Methods. In Proceedings of the Australasian Language Technology Association Workshop 2018, pages 89–92, Dunedin, New Zealand.