most citedAligning Visual Prototypes with BERT Embeddings for Few-Shot Learning

3 citations · 3 across the 4 of their papers we have counts for

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cs.CL2021

Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection

Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke +1

One of the long-standing challenges in lexical semantics consists in learning representations of words which reflect their semantic properties. The remarkable success of word embed…

cs.CL2020

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings

Na Li, Zied Bouraoui, Jose Camacho Collados +3

While the success of pre-trained language models has largely eliminated the need for high-quality static word vectors in many NLP applications, such vectors continue to play an imp…