Scott Borgeson


Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here


2020

pdf bib
Equiprobable mappings in weighted constraint grammars
Arto Anttila | Scott Borgeson | Giorgio Magri
Proceedings of the Society for Computation in Linguistics 2020

2019

pdf bib
Equiprobable mappings in weighted constraint grammars
Arto Anttila | Scott Borgeson | Giorgio Magri
Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology

We show that MaxEnt is so rich that it can distinguish between any two different mappings: there always exists a nonnegative weight vector which assigns them different MaxEnt probabilities. Stochastic HG instead does admit equiprobable mappings and we give a complete formal characterization of them.