@inproceedings{itkonen-etal-2022-helsinki,
title = "{H}elsinki-{NLP} at {S}em{E}val-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection",
author = {Itkonen, Sami and
Tiedemann, J{\"o}rg and
Creutz, Mathias},
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-1.14",
doi = "10.18653/v1/2022.semeval-1.14",
pages = "122--134",
abstract = "This paper describes the University of Helsinki submission to the SemEval 2022 task on multilingual idiomaticity detection. Our system utilizes several models made available by HuggingFace, along with the baseline BERT model for the task. We focus on feature engineering based on properties that typically characterize idiomatic expressions. The additional features lead to improvements over the baseline and the final submission achieves 15th place out of 20 submissions. The paper provides error analysis of our model including visualisations of the contributions of individual features.",
}
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%0 Conference Proceedings
%T Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection
%A Itkonen, Sami
%A Tiedemann, Jörg
%A Creutz, Mathias
%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 itkonen-etal-2022-helsinki
%X This paper describes the University of Helsinki submission to the SemEval 2022 task on multilingual idiomaticity detection. Our system utilizes several models made available by HuggingFace, along with the baseline BERT model for the task. We focus on feature engineering based on properties that typically characterize idiomatic expressions. The additional features lead to improvements over the baseline and the final submission achieves 15th place out of 20 submissions. The paper provides error analysis of our model including visualisations of the contributions of individual features.
%R 10.18653/v1/2022.semeval-1.14
%U https://aclanthology.org/2022.semeval-1.14
%U https://doi.org/10.18653/v1/2022.semeval-1.14
%P 122-134
Markdown (Informal)
[Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection](https://aclanthology.org/2022.semeval-1.14) (Itkonen et al., SemEval 2022)
ACL