Abstract
In this paper we present a novel rule-based, language independent method for determining lexical entailment relations using semantic representations built from Wiktionary definitions. Combined with a simple WordNet-based method our system achieves top scores on the English and Italian datasets of the Semeval-2020 task “Predicting Multilingual and Cross-lingual (graded) Lexical Entailment” (Glavaš et al., 2020). A detailed error analysis of our output uncovers future directions for improving both the semantic parsing method and the inference process on semantic graphs. reported in this document.
Cite
CITATION STYLE
Kovács, Á., Gémes, K., Kornai, A., & Recski, G. (2020). BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs. In 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings (pp. 135–141). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.15
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