Predicting Word Association Strengths

Andrew Cattle, Xiaojuan Ma

2017 · 12 citations · 20 references

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Abstract

This paper looks at the task of predicting word association strengths across three datasets; WordNet Evocation We achieve results of r = 0.357 and = 0.379, r = 0.344 and = 0.300, an = 0.292 and = 0.363, respectively. We find Word2Vec Furthermore, we examine the usefulness of Gaussian embeddings

References

20