HRSWE

This is the repository that contains the code of "Specializing Word Vectors by Spectral Decomposition on Heterogeneously Twisted Graphs".

How to reproduce the results

Word Similarity and Synonym/Antonym Classification task

0. Download the data
1. Download sim_results and clf_results
2. Import results.pickle with python pickle module
3. Change hrswe/ar config in config.py with config in results.pickle
4. Run main.py or adv_main.py

Lexical Simplification task

0. Download the data
1. Open results in lexical_simiplification directory and load res-hyp.pickle with skopt module
2. Change hrswe/ar config in main_sp_lex_mturk.py with config in res-hyp.pickle
3. Run main_sp_lex_mturk.py

Note: Due to the randomness in the hyperparameter tuning method, you may not produce the exact same results. But you should obtain similar results.

Supplementary Materials

TODO:

• add the paper
• add the poster
• add the bib file