SZTAKI HLT | BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs
Ádám Kovács, Kinga Gémes, András Kornai, Gábor Recski
BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs
In Proceedings of the 14th International Workshop on Semantic Evaluation, 2020

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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" (Glavas 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.

Citation
@inproceedings{Kovacs:2020a,
    title = "{BMEAUT} at {S}em{E}val-2020 Task 2: Lexical Entailment with Semantic Graphs",
    author = "Kov\'acs, {\'A}d{\'a}m  and
      G{\'e}mes, Kinga  and
      Kornai, Andras  and
      Recski, G{\'a}bor",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.semeval-1.15",
    pages = "135--141",
}