A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining
Published 1 January 2015Open access
Salud María Jiménez-Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín Valdivia, Alejandro Moreo
Citations12
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TL;DR
Trip-MAML is a multi-lingual dataset for aspect-oriented opinion mining that enables researchers to face the problem on languages other than English and to the experiment the application of cross-lingUAL learning methods to the task.
Abstract
Salud M. Jiménez Zafra, Giacomo Berardi, Andrea Esuli, Diego Marcheggiani, María Teresa Martín-Valdivia, Alejandro Moreo Fernández. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015.
Keywords
Computer Science
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