Papers with hypernym discovery

2 papers
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection (N18-1)

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Challenge: Existing unsupervised methods for learning hypernyms from unlabeled text are not scaled to large vocabularies or yield unacceptably poor accuracy.
Approach: They propose an unsupervised method of hypernym discovery using word contexts . they use word2vec to embed word context distributions without supervision .
Outcome: The proposed method provides double the precision and highest average performance on 11 datasets.
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings (2022.lrec-1)

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Challenge: Existing methods for hypernym detection rely on word distribution.
Approach: They propose a model to learn box embeddings for hypernym discovery by using a dataset . they compare the performance of their model on medical and music domains .
Outcome: The proposed model outperforms existing methods on most evaluation metrics on medical and music domains.

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