@inproceedings{kovacs-etal-2020-bmeaut,
    title = "{BMEAUT} at {S}em{E}val-2020 Task 2: Lexical Entailment with Semantic Graphs",
    author = "Kov{\'a}cs, {\'A}d{\'a}m  and
      G{\'e}mes, Kinga  and
      Kornai, Andras  and
      Recski, G{\'a}bor",
    editor = "Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      May, Jonathan  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.semeval-1.15/",
    doi = "10.18653/v1/2020.semeval-1.15",
    pages = "135--141",
    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 {\textquotedblleft}Predicting Multilingual and Cross-lingual (graded) Lexical Entailment{\textquotedblright} (Glava{\v{s}} 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."
}