embeddingdynamicstereotypes's People
Forkers
piesauce socrateslab yunqili jiasir803 karvesaket jbdatascience lab2048 shankar0206 so2jia krithika-srinivasan damian-romero noahmclean1 nathanlane nactran sabhyac26 stefanolipira yulin-yu epapagia nishanthsanjeev fagan2888 mt-digital amannor joshzyj soung-low elizabethlui huandeng1990 lulu1008-beep dennishi0925 ma-ji mclarac jerritta cksteven tmacmilan owe1n anacarolinapq animeshjha2419 wenhaolu-ustc ckennte11 jiangzhaokun yhliu2022 cyq51bbdembeddingdynamicstereotypes's Issues
Download all word embeddings
I am trying to re-run your code and have been struggling to find all the word embeddings you used during your experiments. Could you please let me know from where do I download them? Also, could you elaborate on exactly how do I run your code? The README does not help me a lot.
Thank You
Input Data
Hello, thanks for the repository!
I have followed the instructions in the README file but cannot get the vectors as described here
Basically these files:
filenames_sgns = [folder + 'vectors_sgns{}.txt'.format(x) for x in range(1910, 2000, 10)]
filenames_svd = [folder + 'vectors_svd{}.txt'.format(x) for x in range(1910, 2000, 10)]
filenames_nyt = [folder + 'vectors{}-{}.txt'.format(x, x+5) for x in range(1987, 2000, 1)]
filenames_coha = [folder + 'vectorscoha{}-{}.txt'.format(x, x+20) for x in range(1910, 2000, 10)]
Can you please let us know how to generate them ? I have for example downloaded the sgns
from here but it contains only -vocab.pkl
and -w.npy
but not any .txt
files.
New York Times Annotated Corpus link returns 404
The link to the New York Times Annotated Corpus in README.md is wrong and returns 404.
The correct one is: https://catalog.ldc.upenn.edu/LDC2008T19
How to normalize vectors by l2 norm?
download vectors from online sources and normalize by l2 norm (links in paper and below)
I am not very clear about this.
Any help would be appreciated.
Thank You.
Getting NaN after running changes_over_time.py
I have been trying to run the code since long and keep getting NaNs in the finalrun.csv which is generated after running changes_over_time.py. I have downloaded all embeddings twice (as I thought there was some error while downloading the vectors the first time I ran), normalized all vectors and then run changes_over_time.py.
Any help would be appreciated.
Thank You.
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