corr_embeds: Compute the correlation of a given cue's similarity vectors...
In prodriguezsosa/weeval: Compare Word Embedding Models

Compute the correlation of a given cue's similarity vectors for two embedding models

corr_embeds(
  embeds1,
  embeds2,
  cue,
  type = "pearson",
  method = "cosine",
  norm = "l2"
)

`embeds1`	embeddings model 1 (V by D matrix)
`embeds2`	embeddings model 2 (V by D matrix)
`cue`	cue word for which the correlation will be computed
`type`	`pearson` or `rank` correlation
`method`	a `param` of `text2vec`'s `sim2`: character, the similarity measure to be used. One of c("cosine","jaccard").
`norm`	a `param` of `text2vec`'s `sim2`: character = c("l2","none") - how to scale input matrices. If they already scaled - use "none"