1 citations · 1 across the 2 of their papers we have counts for
5 papers · 1 filter
Czech Dataset for Complex Aspect-Based Sentiment Analysis Tasks
Jakub Šmíd, Pavel Přibáň, Ondřej Pražák +1
In this paper, we introduce a novel Czech dataset for aspect-based sentiment analysis (ABSA), which consists of 3.1K manually annotated reviews from the restaurant domain. The data…
Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Model
Pavel Přibáň, Ondřej Pražák
This paper presents a series of approaches aimed at enhancing the performance of Aspect-Based Sentiment Analysis (ABSA) by utilizing extracted semantic information from a Semantic…
Czert -- Czech BERT-like Model for Language Representation
Jakub Sido, Ondřej Pražák, Pavel Přibáň +3
This paper describes the training process of the first Czech monolingual language representation models based on BERT and ALBERT architectures. We pre-train our models on more than…
UWB at SemEval-2020 Task 1: Lexical Semantic Change Detection
Ondřej Pražák, Pavel Přibáň, Stephen Taylor +1
In this paper, we describe our method for the detection of lexical semantic change, i.e., word sense changes over time. We examine semantic differences between specific words in tw…
UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation
Ondřej Pražák, Pavel Přibáň, Stephen Taylor
In this paper, we describe our method for detection of lexical semantic change (i.e., word sense changes over time) for the DIACR-Ita shared task, where we ranked . We exam…