Published February 18, 2024 | Version v1
Dataset Open

Learning High-Quality and General-Purpose Phrase Representations

  • 1. ROR icon Inria Saclay - Île-de-France Research Centre
  • 2. ROR icon Institut Polytechnique de Paris

Description

This repo contains datasets for training and evaluation in this paper "Learning High-Quality and General-Purpose Phrase Representations"

Files

eval_data.zip

Files (651.2 MB)

Name Size Download all
md5:07ceb6f03151b80ffb939f0db9bab6d5
20.8 MB Preview Download
md5:17ba4590244608b24a604c11c42db7a3
630.3 MB Preview Download

Additional details

Identifiers

Dates

Accepted
2024-02-28
EACL Findings 2024

References

  • @article{chen2024learning, title={Learning High-Quality and General-Purpose Phrase Representations}, author={Chen, Lihu and Varoquaux, Ga{\"e}l and Suchanek, Fabian M}, journal={arXiv preprint arXiv:2401.10407}, year={2024} }