642 citations · 3.9k across the 143 of their papers we have counts for
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cs.CL2019★ 55 cited
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen, Timothy Hospedales
Word embeddings generated by neural network methods such as word2vec (W2V) are well known to exhibit seemingly linear behaviour, e.g. the embeddings of analogy "woman is to queen a…
cs.CL2018★ 21 cited
What the Vec? Towards Probabilistically Grounded Embeddings
Carl Allen, Ivana Balažević, Timothy Hospedales
Word2Vec (W2V) and GloVe are popular, fast and efficient word embedding algorithms. Their embeddings are widely used and perform well on a variety of natural language processing ta…