A non-parameterized sentence embedding method that first compresses word vectors with wavelets and then applies a cosine transform over the compressed coefficients, matching baseline performance at a fraction of the dimension.
SemEval-2012 task 6: A pilot on semantic textual similarity
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Combining Discrete Wavelet and Cosine Transforms for Efficient Sentence Embedding
A non-parameterized sentence embedding method that first compresses word vectors with wavelets and then applies a cosine transform over the compressed coefficients, matching baseline performance at a fraction of the dimension.