no code implementations • GWC 2019 • Francis Bond, Arkadiusz Janz, Maciej Piasecki
In this paper, we compare a variety of sense-tagged sentiment resources, including SentiWordNet, ML-Senticon, plWordNet emo and the NTU Multilingual Corpus.
no code implementations • GWC 2019 • Agnieszka Dziob, Maciej Piasecki, Ewa Rudnicka
The paper presents the latest release of the Polish WordNet, namely plWordNet 4. 1.
1 code implementation • ACL 2022 • Kamil Kanclerz, Maciej Piasecki
Effective methods for multiword expressions detection are important for many technologies related to Natural Language Processing.
no code implementations • EACL (GWC) 2021 • Ewa Rudnicka, Wojciech Witkowski, Maciej Piasecki
The paper reports on the methodology and final results of a large-scale synset mapping between plWordNet and Princeton WordNet.
no code implementations • GWC 2016 • Maciej Piasecki, Stan Szpakowicz, Marek Maziarz, Ewa Rudnicka
It took us nearly ten years to get from no wordnet for Polish to the largest wordnet ever built.
no code implementations • GWC 2016 • Maciej Piasecki, Paweł Kędzia, Marlena Orlińska
The paper explores the application of plWordNet, a very large wordnet of Polish, in weakly supervised Word Sense Disambiguation (WSD).
no code implementations • EACL (GWC) 2021 • Arkadiusz Janz, Maciej Piasecki, Piotr Wątorski
Neural language models, including transformer-based models, that are pre-trained on very large corpora became a common way to represent text in various tasks, including recognition of textual semantic relations, e. g. Cross-document Structure Theory.
no code implementations • GWC 2018 • Maciej Piasecki, Gabriela Czachor, Arkadiusz Janz, Dominik Kaszewski, Paweł Kędzia
The paper presents construction of large scale test datasets for word embeddings on the basis of a very large wordnet.
no code implementations • GWC 2018 • Jan Kocoń, Arkadiusz Janz, Maciej Piasecki
In this paper we present a comprehensive overview of recent methods of the sentiment propagation in a wordnet.
no code implementations • GWC 2018 • Gabriela Czachor, Maciej Piasecki, Arkadiusz Janz
Word embeddings were used for the extraction of hyponymy relation in several approaches, but also it was recently shown that they should not work, in fact.
no code implementations • GWC 2018 • Marek Maziarz, Maciej Piasecki
plWordNet, the wordnet of Polish, has become a very comprehensive description of the Polish lexical system.
no code implementations • GWC 2018 • Agnieszka Dziob, Maciej Piasecki
The paper presents an expansion of the verb model for plWordNet – the wordnet of Polish.
no code implementations • GWC 2018 • Monika Zaśko-Zielińska, Maciej Piasecki
The paper presents an approach to building a very large emotive lexicon for Polish based on plWordNet.
no code implementations • GWC 2018 • Tomasz Naskręt, Agnieszka Dziob, Maciej Piasecki, Chakaveh Saedi, António Branco
The paper presents a new re-built and expanded, version 2. 0 of WordnetLoom – an open wordnet editor.
no code implementations • GWC 2018 • Ewa Rudnicka, Francis Bond, Łukasz Grabowski, Maciej Piasecki, Tadeusz Piotrowski
The paper presents a feature-based model of equivalence targeted at (manual) sense linking between Princeton WordNet and plWordNet.
1 code implementation • 5 Aug 2024 • Albert Sawczyn, Katsiaryna Viarenich, Konrad Wojtasik, Aleksandra Domogała, Marcin Oleksy, Maciej Piasecki, Tomasz Kajdanowicz
Advancements in AI and natural language processing have revolutionized machine-human language interactions, with question answering (QA) systems playing a pivotal role.
no code implementations • 31 May 2023 • Konrad Wojtasik, Vadim Shishkin, Kacper Wołowiec, Arkadiusz Janz, Maciej Piasecki
In this work, inspired by mMARCO and Mr.~TyDi datasets, we translated all accessible open IR datasets into Polish, and we introduced the BEIR-PL benchmark -- a new benchmark which comprises 13 datasets, facilitating further development, training and evaluation of modern Polish language models for IR tasks.
1 code implementation • 21 Feb 2023 • Jan Kocoń, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydło, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, Anna Kocoń, Bartłomiej Koptyra, Wiktoria Mieleszczenko-Kowszewicz, Piotr Miłkowski, Marcin Oleksy, Maciej Piasecki, Łukasz Radliński, Konrad Wojtasik, Stanisław Woźniak, Przemysław Kazienko
Our comparison of its results with available State-of-the-Art (SOTA) solutions showed that the average loss in quality of the ChatGPT model was about 25% for zero-shot and few-shot evaluation.
1 code implementation • 23 Nov 2022 • Łukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Marcin Wątroba, Arkadiusz Janz, Piotr Szymański, Mikołaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki
In this paper, we introduce LEPISZCZE (the Polish word for glew, the Middle English predecessor of glue), a new, comprehensive benchmark for Polish NLP with a large variety of tasks and high-quality operationalization of the benchmark.
no code implementations • LREC 2020 • Arkadiusz Janz, {\L}ukasz Kopoci{\'n}ski, Maciej Piasecki, Agnieszka Pluwak
Relation Extraction is a fundamental NLP task.
no code implementations • RANLP 2019 • Piotr Grzybowski, Ewa Juralewicz, Maciej Piasecki
The study explores application of a simple Convolutional Neural Network for the problem of authorship attribution of tweets written in Polish.
no code implementations • RANLP 2019 • Wiktor Walentynowicz, Maciej Piasecki, Marcin Oleksy
In this paper we present a morpho-syntactic tagger dedicated to Computer-mediated Communication texts in Polish.
no code implementations • RANLP 2019 • Arkadiusz Janz, Maciej Piasecki
Word Sense Disambiguation remains a challenging NLP task.
no code implementations • RANLP 2017 • Pawe{\l} K{\k{e}}dzia, Maciej Piasecki, Arkadiusz Janz
Similarity between sentences is calculated from graph, and the similarity values are input to classifiers trained by Logistic Model Tree.
no code implementations • RANLP 2017 • Maciej Piasecki, Ksenia M{\l}ynarczyk, Jan Koco{\'n}
In this article we present the result of the recent research in the recognition of genuine Polish suicide notes (SNs).
no code implementations • COLING 2016 • Marek Maziarz, Maciej Piasecki, Ewa Rudnicka, Stan Szpakowicz, Pawe{\l} K{\k{e}}dzia
We have released plWordNet 3. 0, a very large wordnet for Polish.
no code implementations • 10 Jun 2016 • Roman Bartusiak, Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko, Maciej Piasecki
Since WordNet embeds natural language in the form of a complex network, a transformation mechanism WordNet2Vec is proposed in the paper.
no code implementations • LREC 2014 • Pawe{\l} K{\k{e}}dzia, Maciej Piasecki
In this paper we study a rule-based approach to mapping plWordNet onto SUMO Upper Ontology on the basis of the already existing mappings: plWordNet -- the Princeton WordNet -- SUMO.
no code implementations • LREC 2012 • Roman Kurc, Maciej Piasecki, Bartosz Broda
The proposed representation was applied on a practical scale for the description of a large set of Polish MWEs included in plWordNet.
no code implementations • LREC 2012 • Maciej Piasecki, Radoslaw Ramocki, Marek Maziarz
The paper presents construction of {\textbackslash}emph{Derywator} -- a language tool for the recognition of Polish derivational relations.
no code implementations • LREC 2012 • Bartosz Broda, Marek Maziarz, Maciej Piasecki
Building a wordnet is a serious undertaking.