@inproceedings{ousidhoum-etal-2024-semeval,
title = "{S}em{E}val Task 1: Semantic Textual Relatedness for {A}frican and {A}sian Languages",
author = "Ousidhoum, Nedjma and
Muhammad, Shamsuddeen Hassan and
Abdalla, Mohamed and
Abdulmumin, Idris and
Ahmad, Ibrahim Said and
Ahuja, Sanchit and
Aji, Alham Fikri and
Araujo, Vladimir and
Beloucif, Meriem and
De Kock, Christine and
Hourrane, Oumaima and
Shrivastava, Manish and
Solorio, Thamar and
Surange, Nirmal and
Vishnubhotla, Krishnapriya and
Yimam, Seid Muhie and
Mohammad, Saif M.",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Tayyar Madabushi, Harish and
Da San Martino, Giovanni and
Rosenthal, Sara and
Ros{\'a}, Aiala},
booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.semeval-1.272",
doi = "10.18653/v1/2024.semeval-1.272",
pages = "1963--1978",
abstract = "We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algerian Arabic, Amharic, English, Hausa, Hindi, Indonesian, Kinyarwanda, Marathi, Moroccan Arabic, Modern Standard Arabic, Punjabi, Spanish, and Telugu. These languages originate from five distinct language families and are predominantly spoken in Africa and Asia {--} regions characterised by the relatively limited availability of NLP resources. Each instance in the datasets is a sentence pair associated with a score that represents the degree of semantic textual relatedness between the two sentences. Participating systems were asked to rank sentence pairs by their closeness in meaning (i.e., their degree of semantic relatedness) in the 14 languages in three main tracks: (a) supervised, (b) unsupervised, and (c) crosslingual. The task attracted 163 participants. We received 70 submissions in total (across all tasks) from 51 different teams, and 38 system description papers. We report on the best-performing systems as well as the most common and the most effective approaches for the three different tracks.",
}
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<abstract>We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algerian Arabic, Amharic, English, Hausa, Hindi, Indonesian, Kinyarwanda, Marathi, Moroccan Arabic, Modern Standard Arabic, Punjabi, Spanish, and Telugu. These languages originate from five distinct language families and are predominantly spoken in Africa and Asia – regions characterised by the relatively limited availability of NLP resources. Each instance in the datasets is a sentence pair associated with a score that represents the degree of semantic textual relatedness between the two sentences. Participating systems were asked to rank sentence pairs by their closeness in meaning (i.e., their degree of semantic relatedness) in the 14 languages in three main tracks: (a) supervised, (b) unsupervised, and (c) crosslingual. The task attracted 163 participants. We received 70 submissions in total (across all tasks) from 51 different teams, and 38 system description papers. We report on the best-performing systems as well as the most common and the most effective approaches for the three different tracks.</abstract>
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%0 Conference Proceedings
%T SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages
%A Ousidhoum, Nedjma
%A Muhammad, Shamsuddeen Hassan
%A Abdalla, Mohamed
%A Abdulmumin, Idris
%A Ahmad, Ibrahim Said
%A Ahuja, Sanchit
%A Aji, Alham Fikri
%A Araujo, Vladimir
%A Beloucif, Meriem
%A De Kock, Christine
%A Hourrane, Oumaima
%A Shrivastava, Manish
%A Solorio, Thamar
%A Surange, Nirmal
%A Vishnubhotla, Krishnapriya
%A Yimam, Seid Muhie
%A Mohammad, Saif M.
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Tayyar Madabushi, Harish
%Y Da San Martino, Giovanni
%Y Rosenthal, Sara
%Y Rosá, Aiala
%S Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F ousidhoum-etal-2024-semeval
%X We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algerian Arabic, Amharic, English, Hausa, Hindi, Indonesian, Kinyarwanda, Marathi, Moroccan Arabic, Modern Standard Arabic, Punjabi, Spanish, and Telugu. These languages originate from five distinct language families and are predominantly spoken in Africa and Asia – regions characterised by the relatively limited availability of NLP resources. Each instance in the datasets is a sentence pair associated with a score that represents the degree of semantic textual relatedness between the two sentences. Participating systems were asked to rank sentence pairs by their closeness in meaning (i.e., their degree of semantic relatedness) in the 14 languages in three main tracks: (a) supervised, (b) unsupervised, and (c) crosslingual. The task attracted 163 participants. We received 70 submissions in total (across all tasks) from 51 different teams, and 38 system description papers. We report on the best-performing systems as well as the most common and the most effective approaches for the three different tracks.
%R 10.18653/v1/2024.semeval-1.272
%U https://aclanthology.org/2024.semeval-1.272
%U https://doi.org/10.18653/v1/2024.semeval-1.272
%P 1963-1978
Markdown (Informal)
[SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages](https://aclanthology.org/2024.semeval-1.272) (Ousidhoum et al., SemEval 2024)
ACL
- Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir Araujo, Meriem Beloucif, Christine De Kock, Oumaima Hourrane, Manish Shrivastava, Thamar Solorio, Nirmal Surange, Krishnapriya Vishnubhotla, Seid Muhie Yimam, and Saif M. Mohammad. 2024. SemEval Task 1: Semantic Textual Relatedness for African and Asian Languages. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1963–1978, Mexico City, Mexico. Association for Computational Linguistics.