Skip to content

Code and models for Learning in the Rational Speech Acts model

Notifications You must be signed in to change notification settings

futurulus/learned-rsa

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Code for Learning in the Rational Speech Acts Model

This repository contains code and models for the paper Learning the Rational Speech Acts Model (Monroe and Potts, Amsterdam Colloquium 2015).

You'll first need Python 2.7 with NumPy, as well as the TUNA corpus:

./get_tuna

To run the main model presented in the paper (last line of Table 1):

bash ./runs/308/_rerun.sh  # furniture
bash ./runs/309/_rerun.sh  # people

Check out the above shell scripts for the full command that runs the program with tunable options.

Each of the "learned" models in Table 1 can be rerun with a similar command, replacing the number in the run directory:

Model Furniture People
S0 basic 275 276
S0 gen 11 12
S0 basic+gen 306 307
S1 basic 251 252
S1 gen 3 4
S1 basic+gen 308 309

Be prepared to wait a while for the models to finish! 2 days is normal for the S1 models (on 2016 hardware); the S0 ones should be faster. (Replicating results is great, but if you'd rather not wait, see stdout.log in each run directory for the output of my own run of the program.)

About

Code and models for Learning in the Rational Speech Acts model

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published