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Random projections and Kernelised Leave One Cluster Out Cross-Validation: Universal baselines and evaluation tools for supervised machine learning for materials properties


Jun 17, 2022
Samantha Durdy , Michael Gaultois , Vladimir Gusev , Danushka Bollegala , Matthew J. Rosseinsky

* 16 pages including references, 9 figures 

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Gender Bias in Meta-Embeddings


May 19, 2022
Masahiro Kaneko , Danushka Bollegala , Naoaki Okazaki


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Gender Bias in Masked Language Models for Multiple Languages


May 04, 2022
Masahiro Kaneko , Aizhan Imankulova , Danushka Bollegala , Naoaki Okazaki

* NAACL 2022 

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Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completion


Apr 28, 2022
Huda Hakami , Mona Hakami , Angrosh Mandya , Danushka Bollegala

* Accepted in NAACL 2022 

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Learning Meta Word Embeddings by Unsupervised Weighted Concatenation of Source Embeddings


Apr 26, 2022
Danushka Bollegala

* Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022) 

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A Survey on Word Meta-Embedding Learning


Apr 25, 2022
Danushka Bollegala , James O'Neill

* Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022) 
* Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI-2022) 

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Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models


Apr 16, 2022
Keigo Takahashi , Danushka Bollegala


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Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings


Mar 16, 2022
Yi Zhou , Masahiro Kaneko , Danushka Bollegala

* Accepted to ACL 2022 

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Assessment of contextualised representations in detecting outcome phrases in clinical trials


Mar 13, 2022
Micheal Abaho , Danushka Bollegala , Paula R Williamson , Susanna Dodd

* European Journal of Biomedical Informatics, 2021 

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