Multilingual Idiomaticity Detection

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task ID: multilingualidiomaticitydetection

Related Papers

Helsinki-NLP at SemEval-2022 Task 2: A Feature-Based Approach to Multilingual Idiomaticity Detection

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis 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 …...

25156

Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractIn this paper, we describe our system for SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding. The task aims at detecting idiomaticity in an input sequence (Subtask A) and …...

25155

SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identifying whether a sentence contains …...

25157

YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractThis paper will present the methods we use as the YNU-HPCC team in the SemEval-2022 Task 2, Multilingual Idiomaticity Detection and Sentence Embedding. We are involved in two subtasks, including …...

25146