The offset method for solving word analogies has become a standard evaluation tool for vector-space semantic models: it is considered desirable for a space to represent semantic relations as consistent vector offsets. We show that the method's reliance on cosine similarity conflates offset consistency with largely irrelevant neighborhood structure, and propose simple baselines that should be used to improve the utility of the method in vector space evaluation.
Linzen REF discusses potential pitfalls of the vector offset method of analogy, and presents baselines to improve the utility of vector space evaluations.
Issues in evaluating semantic spaces using word analogies
ArXiv
ArXiv
Computer Science