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  # USAS Multilingual Word Sense Disambiguation Datasets
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- This contains the Multilingual Word Sense Disambiguation (WSD) evaluation datasets using the [UCREL Semantic Analysis System (USAS)](https://ucrel.lancs.ac.uk/usas/) sense inventory from the forthcoming paper. These evaluation datasets are a collection of existing datasets, apart from the Chinese datasets which was released with the forthcoming paper.
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  All the evaluation data has either been manually tagged or has been manually checked.
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  ## Citation
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- Each dataset should be cited separately, but for reference all 4 datasets were used as evaluation datasets within forthcoming paper.
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  * English and Finnish - [Porting an English semantic tagger to the Finnish language by Löfberg et al. 2003](https://ucrel.lancs.ac.uk/publications/CL2003/papers/lofberg.pdf)
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  * Welsh - [Leveraging Pre-Trained Embeddings for Welsh Taggers by Ezeani et al. 2019](https://aclanthology.org/W19-4332/)
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- * Chinese - Forthcoming paper.
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  ## License
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  # USAS Multilingual Word Sense Disambiguation Datasets
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+ This contains the Multilingual Word Sense Disambiguation (WSD) evaluation datasets, using the [UCREL Semantic Analysis System (USAS)](https://ucrel.lancs.ac.uk/usas/) sense inventory, from the paper; [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648). These evaluation datasets are a collection of **existing datasets**, apart from the Chinese datasets which was released with the [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648) paper.
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  All the evaluation data has either been manually tagged or has been manually checked.
 
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  ## Citation
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+ Each dataset should be cited separately, but for reference all 4 datasets were used as evaluation datasets within [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648) paper.
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  * English and Finnish - [Porting an English semantic tagger to the Finnish language by Löfberg et al. 2003](https://ucrel.lancs.ac.uk/publications/CL2003/papers/lofberg.pdf)
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  * Welsh - [Leveraging Pre-Trained Embeddings for Welsh Taggers by Ezeani et al. 2019](https://aclanthology.org/W19-4332/)
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+ * Chinese - [Creating a Hybrid Rule and Neural Network Based Semantic Tagger using Silver Standard Data: the PyMUSAS framework for Multilingual Semantic Annotation](https://arxiv.org/abs/2601.09648).
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  ## License
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