SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
<|reference_start|>SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages: Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily focused on semantic similarity, often within the English language context, we instead investigate the broader phenomenon of semantic relatedness. In this paper, we present \textit{SemRel}, a new semantic relatedness dataset collection annotated by native speakers across 13 languages: \textit{Afrikaans, Algerian Arabic, Amharic, English, Hausa, Hindi, Indonesian, Kinyarwanda, Marathi, Moroccan Arabic, Modern Standard Arabic, Spanish,} and \textit{Telugu}. These languages originate from five distinct language families and are predominantly spoken in Africa and Asia -- regions characterised by a relatively limited availability of NLP resources. Each instance in the SemRel datasets is a sentence pair associated with a score that represents the degree of semantic textual relatedness between the two sentences. The scores are obtained using a comparative annotation framework. We describe the data collection and annotation processes, challenges when building the datasets, baseline experiments, and their impact and utility in NLP.<|reference_end|>
@article{ousidhoum2024semrel2024:,
    title={SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13
  Languages},
    author={Nedjma Ousidhoum, Shamsuddeen Hassan Muhammad, Mohamed Abdalla, Idris
  Abdulmumin, Ibrahim Said Ahmad, Sanchit Ahuja, Alham Fikri Aji, Vladimir
  Araujo, Abinew Ali Ayele, Pavan Baswani, Meriem Beloucif, Chris Biemann,
  Sofia Bourhim, Christine De Kock, Genet Shanko Dekebo, Oumaima Hourrane,
  Gopichand Kanumolu, Lokesh Madasu, Samuel Rutunda, Manish Shrivastava, Thamar
  Solorio, Nirmal Surange, Hailegnaw Getaneh Tilaye, Krishnapriya Vishnubhotla,
  Genta Winata, Seid Muhie Yimam, Saif M. Mohammad},
    journal={arXiv preprint arXiv:2402.08638},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.08638},
    primaryClass={cs.CL}
}