Skip to content

Latest commit

 

History

History
59 lines (30 loc) · 1.1 KB

README.md

File metadata and controls

59 lines (30 loc) · 1.1 KB
Raw

Learning Sparse Low Rank Tensor Representations of Transitive Verbs

This is a recreation and modification of

Fried, D., Polajnar, T., & Clark, S. (2015). Low-rank tensors for verbs in compositional distributional semantics. In Proceedings of the 53nd Annual Meeting of the Association for Computational Linguistics (ACL 2015), Bejing, China.
Chicago

Files

shell script to quickly upload output logs and saved weights to Google Drive using Skicka

  • skicka_upload.sh

scripts to run train_parallel.py on cores using SLURM job scheduler

  • slurm_run.sbatch
  • slurm_test.sbatch

python scripts to train verb tensors with and without OpenMPI parallelization, respectively

  • train_parallel.py
  • train_verbs.py

simple utility functions used in verb.py and training scripts

  • utils.py

contains Verb class, includes implementations of SGD and ADADELTA to train verb tensors

  • verb.py

Requires

  • Numpy
  • Pandas
  • tqdm
  • SimpleMPI (for train_parallel.py)

Full report will be available soon.