• DOI:10.1609/AAAI.V34I05.6292
Corpus ID: 211132073

P-SIF: Document Embeddings Using Partition Averaging

@article{Gupta2020PSIFDE,
  title={P-SIF: Document Embeddings Using Partition Averaging},
  author={Vivek Gupta and A. Saw and Pegah Nokhiz and Praneeth Netrapalli and Piyush Rai and P. Talukdar},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.09069}
}

Vivek Gupta, A. Saw, +3 authors P. Talukdar

Published 2020

Computer Science

ArXiv

Simple weighted averaging of word vectors often yields effective representations for sentences which outperform sophisticated seq2seq neural models in many tasks. While it is desirable to use the same method to represent documents as well, unfortunately, the effectiveness is lost when representing long documents involving multiple sentences. One of the key reasons is that a longer document is likely to contain words from many different topics; hence, creating a single vector while ignoring all… CONTINUE READING

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