Ignacio Arranz

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2022

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MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective
Alfonso Ardoiz | Miguel Ortega-Martín | Óscar García-Sierra | Jorge Álvarez | Ignacio Arranz | Adrián Alonso
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

This paper presents a novel and linguistic-driven system for the Spanish Reverse Dictionary task of SemEval-2022 Task 1. The aim of this task is the automatic generation of a word using its gloss. The conclusion is that this task results could improve if the quality of the dataset did as well by incorporating high-quality lexicographic data. Therefore, in this paper we analyze the main gaps in the proposed dataset and describe how these limitations could be tackled.
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