Publication details

SENEQA - System for Quality Testing of Wordnet Data

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Year of publication 2012
Type Article in Proceedings
Conference 6th International Global Wordnet Conference Proceedings
MU Faculty or unit

Faculty of Informatics

Field Informatics
Description Construction of semantic network from scratch is a long process that usually requires both linguistic work done by hand and semi-automatic methods to add or translate new data which must be subsequently reviewed by human lexicographers. In this process, many systemic and/or language-specific errors usually appear in the data over time. Maintaining content integrity and high quality of data in general-purpose semantic network, that is in development, is of utmost importance for majority of NLP applications in which a wordnet is used. In this article, we will introduce a prototype system to tackle this issue systematically.
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