Corpus ID: 108299957

Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors

@article{Zhelezniak2019DontSF,
  title={Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors},
  author={V. Zhelezniak and A. Savkov and April Shen and Francesco Moramarco and Jack Flann and N. Hammerla},
  journal={ArXiv},
  year={2019},
  volume={abs/1904.13264}
}

V. Zhelezniak, A. Savkov, +3 authors N. Hammerla

Published 2019

Computer Science

ArXiv

Recent literature suggests that averaged word vectors followed by simple post-processing outperform many deep learning methods on semantic textual similarity tasks. Furthermore, when averaged word vectors are trained supervised on large corpora of paraphrases, they achieve state-of-the-art results on standard STS benchmarks. Inspired by these insights, we push the limits of word embeddings even further. We propose a novel fuzzy bag-of-words (FBoW) representation for text that contains all the… CONTINUE READING

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