Traversal-Free Word Vector Evaluation in Analogy Space

WS 2017  ·  Xiaoyin Che, Nico Ring, Willi Raschkowski, Haojin Yang, Christoph Meinel ·

In this paper, we propose an alternative evaluating metric for word analogy questions (A to B is as C to D) in word vector evaluation. Different from the traditional method which predicts the fourth word by the given three, we measure the similarity directly on the {``}relations{''} of two pairs of given words, just as shifting the relation vectors into a new analogy space... Cosine and Euclidean distances are then calculated as measurements. Observation and experiments shows the proposed analogy space evaluation could offer a more comprehensive evaluating result on word vectors with word analogy questions. Meanwhile, computational complexity are remarkably reduced by avoiding traversing the vocabulary. read more

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