@inproceedings{ardoiz-etal-2022-mmg,
title = "{MMG} at {S}em{E}val-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective",
author = "Ardoiz, Alfonso and
Ortega-Mart{\'\i}n, Miguel and
Garc{\'\i}a-Sierra, {\'O}scar and
{\'A}lvarez, Jorge and
Arranz, Ignacio and
Alonso, Adri{\'a}n",
editor = "Emerson, Guy and
Schluter, Natalie and
Stanovsky, Gabriel and
Kumar, Ritesh and
Palmer, Alexis and
Schneider, Nathan and
Singh, Siddharth and
Ratan, Shyam",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.semeval-1.7",
doi = "10.18653/v1/2022.semeval-1.7",
pages = "68--74",
abstract = "This paper presents a novel and linguistic-driven system for the Spanish Reverse Dictionary task of SemEval-2022 Task 1. The aim of this task is the automatic generation of a word using its gloss. The conclusion is that this task results could improve if the quality of the dataset did as well by incorporating high-quality lexicographic data. Therefore, in this paper we analyze the main gaps in the proposed dataset and describe how these limitations could be tackled.",
}
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%0 Conference Proceedings
%T MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective
%A Ardoiz, Alfonso
%A Ortega-Martín, Miguel
%A García-Sierra, Óscar
%A Álvarez, Jorge
%A Arranz, Ignacio
%A Alonso, Adrián
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F ardoiz-etal-2022-mmg
%X This paper presents a novel and linguistic-driven system for the Spanish Reverse Dictionary task of SemEval-2022 Task 1. The aim of this task is the automatic generation of a word using its gloss. The conclusion is that this task results could improve if the quality of the dataset did as well by incorporating high-quality lexicographic data. Therefore, in this paper we analyze the main gaps in the proposed dataset and describe how these limitations could be tackled.
%R 10.18653/v1/2022.semeval-1.7
%U https://aclanthology.org/2022.semeval-1.7
%U https://doi.org/10.18653/v1/2022.semeval-1.7
%P 68-74
Markdown (Informal)
[MMG at SemEval-2022 Task 1: A Reverse Dictionary approach based on a review of the dataset from a lexicographic perspective](https://aclanthology.org/2022.semeval-1.7) (Ardoiz et al., SemEval 2022)
ACL