@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://aclanthology.org/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 {``}Predicting Multilingual and Cross-lingual (graded) Lexical Entailment{''} (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.",
}
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<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 di- rections for improving both the semantic parsing method and the inference process on semantic graphs.</abstract>
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%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
Markdown (Informal)
[BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs](https://aclanthology.org/2020.semeval-1.15) (Kovács et al., SemEval 2020)
ACL