# External knowledge transfer deployment inside a simple double agent Viterbi algorithm

arXiv: https://arxiv.org/abs/2110.00433 · HTML: https://mlsanity.com/paper/2110.00433/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 10 references that are in the map.
- First posted on arXiv 6 Sep 2021.

## Built on by (most cited first, 1 of 1)

- [Tweet Sentiment Extraction using Viterbi Algorithm with Transfer Learning](https://mlsanity.com/paper/2308.05973/) (2023)

## Abstract (arXiv)

We consider in this paper deploying external knowledge transfer inside a simple double agent Viterbi algorithm which is an algorithm firstly introduced by the author in his preprint "Hidden Markov Based Mathematical Model dedicated to Extract Ingredients from Recipe Text". The key challenge of this work lies in discovering the reason why our old model does have bad performances when it is confronted with estimating ingredient state for unknown words and see if deploying external knowledge transfer directly on calculating state matrix could be the solution instead of deploying it only on back propagating step.