LEAR

AbstractWe present LEAR (Lexical Entailment Attract-Repel), a novel post-processing method that transforms any input word vector space to emphasise the asymmetric relation of lexical entailment (LE), also known as the …...

Neural sequence models exhibit limited com- positional generalization ability in semantic parsing tasks. Compositional generalization requires algebraic recombination, i.e., dynam- ically recombining structured expressions in a recursive manner. However, most …...