( en | de | ru )

 

Disambiguation of "Bollegala, Danushka"

Author of the publication

copydeleteadd this publication to your clipboard
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context.

, , , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Bollegala, Danushka
add a person with the name Bollegala, Danushka
 

Other publications of authors with the same name

A classification approach for detecting cross-lingual biomedical term translations., and . Nat. Lang. Eng., 23 (1): 31-51 (2017)An Optimality Proof for the PairDiff operator for Representing Relations between Words., , and . CoRR, (2017)Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy., and . PACLIC, page 493-502. Association for Computational Lingustics, (2021)Extracting Supporting Evidence from Medical Negligence Claim Texts., , , , and . KDH@IJCAI, volume 2429 of CEUR Workshop Proceedings, page 50-54. CEUR-WS.org, (2019)Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction., , , and . LREC, page 3851-3860. European Language Resources Association, (2020)Compositional approaches for representing relations between words: A comparative study., and . Knowl. Based Syst., (2017)Joint Learning of Sense and Word Embeddings., and . LREC, European Language Resources Association (ELRA), (2018)Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions., , and . LREC, European Language Resources Association (ELRA), (2018)Debiasing Isn't Enough! - on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks., , and . COLING, page 1299-1310. International Committee on Computational Linguistics, (2022)Learning to Predict Distributions of Words Across Domains., , and . ACL (1), page 613-623. The Association for Computer Linguistics, (2014)