Papers by Anahita Mansouri Bigvand

1 papers
Decipherment of Substitution Ciphers with Neural Language Models (D18-1)

Copied to clipboard

Challenge: Existing methods for deciphering homophonic substitution ciphers use pre-trained neural LMs.
Approach: They propose a beam search algorithm that scores the entire candidate plaintext at each step of the decipherment using a neural language model.
Outcome: The proposed beam search algorithm improves on challenging ciphers with smaller beam sizes and better error rates than state-of-the-art methods.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations