SENEQA - System for Quality Testing of Wordnet Data
| Authors | |
|---|---|
| Year of publication | 2012 |
| Type | Article in Proceedings |
| Conference | 6th International Global Wordnet Conference Proceedings |
| MU Faculty or unit | |
| Citation | |
| 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. |
| Related projects: |