Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Přibáň, Pavel"'
Autor:
Přibáň, Pavel, Pražák, Ondřej
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 Role Labeling (SRL) model. We propose a novel end-to-end Semantic Role
Externí odkaz:
http://arxiv.org/abs/2307.14785
This paper deals with cross-lingual sentiment analysis in Czech, English and French languages. We perform zero-shot cross-lingual classification using five linear transformations combined with LSTM and CNN based classifiers. We compare the performanc
Externí odkaz:
http://arxiv.org/abs/2209.07244
Autor:
Přibáň, Pavel, Steinberger, Josef
In this paper, we introduce a new Czech subjectivity dataset of 10k manually annotated subjective and objective sentences from movie reviews and descriptions. Our prime motivation is to provide a reliable dataset that can be used with the existing En
Externí odkaz:
http://arxiv.org/abs/2204.13915
Autor:
Lenc, Ladislav, Martínek, Jiří, Baloun, Josef, Přibáň, Pavel, Prantl, Martin, Taylor, Stephen Eugene, Král, Pavel, Kyliš, Jiří
Publikováno v:
In Computers in Biology and Medicine August 2024 178
Publikováno v:
In Expert Systems With Applications 1 August 2024 247
Autor:
Přibáň, Pavel, Steinberger, Josef
In this paper, we aim at improving Czech sentiment with transformer-based models and their multilingual versions. More concretely, we study the task of polarity detection for the Czech language on three sentiment polarity datasets. We fine-tune and p
Externí odkaz:
http://arxiv.org/abs/2108.10640
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 340K of sentences, which is 50 times more than multilingual models th
Externí odkaz:
http://arxiv.org/abs/2103.13031
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 two corpora, chosen from different time periods, for English, German, La
Externí odkaz:
http://arxiv.org/abs/2012.00004
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 $1^{st}$. We examine semantic differences between specific words in two Italian corpora
Externí odkaz:
http://arxiv.org/abs/2011.14678
Autor:
Yangarber, Roman, Piskorski, Jakub, Dmitrieva, Anna, Marcińczuk, Michał, Přibáň, Pavel, Rybak, Piotr, Steinberger, Josef
This paper describes Slav-NER: the 4th Multilingual Named Entity Challenge in Slavic languages. The tasks involve recognizing mentions of named entities in Web documents, normalization of the names, and cross-lingual linking. This version of the Chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1593::29c9d6d7025605d915b80f33206843c2
http://hdl.handle.net/10138/359615
http://hdl.handle.net/10138/359615