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mteb/MewsC16JaClustering

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Permissive or share-alike

The declared licence (cc-by-sa-4.0) is classified as share-alike.

Declared licence: cc-by-sa-4.0, from the tagEvidence: README.md at f50ef5a
Licence files: No licence file at the top level of the repositoryEvidence: file list at f50ef5a
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-classification

Citation text from the card

@inproceedings{nishikawa-etal-2022-ease,
  abstract = {We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities.The advantage of using entity supervision is twofold: (1) entities have been shown to be a strong indicator of text semantics and thus should provide rich training signals for sentence embeddings; (2) entities are defined independently of languages and thus offer useful cross-lingual alignment supervision.We evaluate EASE against other unsupervised models both in monolingual and multilingual settings.We show that EASE exhibits competitive or better performance in English semantic textual similarity (STS) and short text clustering (STC) tasks and it significantly outperforms baseline methods in multilingual settings on a variety of tasks.Our source code, pre-trained models, and newly constructed multi-lingual STC dataset are available at https://github.com/studio-ousia/ease.},
  address = {Seattle, United States},
  author = {Nishikawa, Sosuke  and
Ri, Ryokan  and
Yamada, Ikuya  and
Tsuruoka, Yoshimasa  and
Echizen, Isao},
  booktitle = {Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  month = jul,
  pages = {3870--3885},
  publisher = {Association for Computational Linguistics},
  title = {{EASE}: Entity-Aware Contrastive Learning of Sentence Embedding},
  url = {https://aclanthology.org/2022.

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dataset_licence({ "id": "mteb/MewsC16JaClustering" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0