%0 Conference Proceedings %T BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs %A Kovács, Ádám %A Gémes, Kinga %A Kornai, Andras %A Recski, Gábor %Y Herbelot, Aurelie %Y Zhu, Xiaodan %Y Palmer, Alexis %Y Schneider, Nathan %Y May, Jonathan %Y Shutova, Ekaterina %S Proceedings of the Fourteenth Workshop on Semantic Evaluation %D 2020 %8 December %I International Committee for Computational Linguistics %C Barcelona (online) %F kovacs-etal-2020-bmeaut %X 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 di- rections for improving both the semantic parsing method and the inference process on semantic graphs. %R 10.18653/v1/2020.semeval-1.15 %U https://aclanthology.org/2020.semeval-1.15 %U https://doi.org/10.18653/v1/2020.semeval-1.15 %P 135-141