Research Article

[Retracted] Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications

Table 3

Different lexical entailment score functions. In each function, represents the hyponym word and represents the hypernym, and is the norm. The term in is a penalty term, and the hyperparameter is set to .

Entailment scoreDirectionality

Symmetric
AsymmetricVulić and Mrkšić [22]
AsymmetricNguyen et al. [20]
AsymmetricNickel and Kiela [21]