4 citations · 5 across the 3 of their papers we have counts for
6 papers
End-to-end Multilingual Coreference Resolution with Mention Head Prediction
Ondřej Pražák, Miloslav Konopík
This paper describes our approach to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference resolution sy…
MQDD: Pre-training of Multimodal Question Duplicity Detection for Software Engineering Domain
Jan Pašek, Jakub Sido, Miloslav Konopík +1
This work proposes a new pipeline for leveraging data collected on the Stack Overflow website for pre-training a multimodal model for searching duplicates on question answering web…
Multilingual Coreference Resolution with Harmonized Annotations
Ondřej Pražák, Miloslav Konopík, Jakub Sido
In this paper, we present coreference resolution experiments with a newly created multilingual corpus CorefUD. We focus on the following languages: Czech, Russian, Polish, German,…
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…