44 citations · 55 across the 4 of their papers we have counts for
5 papers
eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts.A Cross-Genre Survey
Krzysztof Nowak, Jędrzej Ziębura, Krzysztof Wróbel +1
This study introduces the eFontes models for automatic linguistic annotation of Medieval Latin texts, focusing on lemmatization, part-of-speech tagging, and morphological feature d…
Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection
Juuso Eronen, Michal Ptaszynski, Fumito Masui +4
In this research, we study the change in the performance of machine learning (ML) classifiers when various linguistic preprocessing methods of a dataset were used, with the specifi…
Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density
Juuso Eronen, Michal Ptaszynski, Fumito Masui +3
We study the effectiveness of Feature Density (FD) using different linguistically-backed feature preprocessing methods in order to estimate dataset complexity, which in turn is use…
Cyberbullying Detection -- Technical Report 2/2018, Department of Computer Science AGH, University of Science and Technology
Michał Ptaszyński, Gniewosz Leliwa, Mateusz Piech +1
The research described in this paper concerns automatic cyberbullying detection in social media. There are two goals to achieve: building a gold standard cyberbullying detection da…
Improving text classification with vectors of reduced precision
Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietroń +2
This paper presents the analysis of the impact of a floating-point number precision reduction on the quality of text classification. The precision reduction of the vectors represen…