25 citations · 30 across the 3 of their papers we have counts for
3 papers
Developmentally motivated emergence of compositional communication via template transfer
Tomasz Korbak, Julian Zubek, Łukasz Kuciński +2
This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems. We propose a training regime implementing template transfer, the idea…
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish
Renard Korzeniowski, Rafał Rolczyński, Przemysław Sadownik +2
This paper presents our contribution to PolEval 2019 Task 6: Hate speech and bullying detection. We describe three parallel approaches that we followed: fine-tuning a pre-trained U…
Fine-tuning Tree-LSTM for phrase-level sentiment classification on a Polish dependency treebank. Submission to PolEval task 2
Tomasz Korbak, Paulina Żak
We describe a variant of Child-Sum Tree-LSTM deep neural network (Tai et al, 2015) fine-tuned for working with dependency trees and morphologically rich languages using the example…