Słowosieć for researchers
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Citation rules, data access, publications, and use cases for research and applied projects.
5.0
Current version
297k+
Lexical units
100+
Relation types
20+
Years of development
Citation
@inproceedings{rudnicka-etal-2025-plwordnet,
title = "pl{W}ord{N}et 5.0 {--} challenges of a life-long wordnet development process",
author = "Rudnicka, Ewa and
Alberski, Bart{\l}omiej and
Piasecki, Maciej",
booktitle = "Proceedings of the 13th Global Wordnet Conference",
year = "2025",
url = "https://aclanthology.org/2025.gwc-1.19/",
doi = "10.18653/v1/2025.gwc-1.19",
pages = "162--170"
}Słowosieć 5.0
Rudnicka, Ewa, Bartłomiej Alberski, and Maciej Piasecki. "plWordNet 5.0—challenges of a life-long wordnet development process." GWC 2025 (2025): 162-170.
Other citations
plWordNet 4.1 – a Linguistically Motivated, Corpus-based Bilingual Resource
Agnieszka Dziob, Maciej Piasecki, Ewa Rudnicka • 2019 • Proceedings of the 10th Global Wordnet Conference
@article{art-pwr-temp,
author = 'Christiane Fellbaum, Piek Vossen, Ewa Rudnicka, Marek Maziarz, Maciej Piasecki (red.)',
chapter = 'Oficyna Wydawnicza Politechniki Wrocławskiej',
journal = 'Oficyna Wydawnicza Politechniki Wrocławskiej',
title = 'Proceedings of the Tenth Global Wordnet Conference: July 23-27, 2019, Wrocław (Poland)',
year = '2019',
isbn = '978-83-7493-108-3',
}A Wordnet from the Ground Up
Maciej Piasecki, Stanisław Szpakowicz, Bartosz Broda • 2009 • Oficyna Wydawnicza Politechniki Wrocławskiej
@book{plWNBook,
author = 'Maciej Piasecki and Stan Szpakowicz and Bartosz Broda',
publisher = 'Oficyna Wydawnicza Politechniki Wroclawskiej',
title = 'A Wordnet from the Ground Up',
year = '2009',
url = 'http://www.dbc.wroc.pl/Content/4220/Piasecki_Wordnet.pdf',
}Resources and data
Documentation
Słowosieć — theoretical foundations and practical implementation
Overview of the theoretical assumptions, construction process, and core concepts.
Słowosieć 5.0 — relation visualisations
Graphs and diagrams that help explain the structure of semantic relations.
Słowosieć 5.0 — usage example sources
Information about corpora and sources used for lexical unit examples.
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Publications
28 publications · page 1 of 7
The MWN.PT WordNet for Portuguese: Projection, Validation, Cross-lingual Alignment and Distribution
2020António Branco, Sara Grilo, Mariana Bolrinha, Chakaveh Saedi, Ruben Branco, João Silva, Ana Querido, Rita de Carvalho, Rosa Gaudio, Mariana Avelãs, Cláudia Pinto • Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020)
Artykuł w całości poświęcony portugalskojęzycznemu wordnetowi MWN.PT. Autorzy przedstawiają rozwój, konstrukcję i wnioski wyciągnięte z budowy największego wordnetu w języku portugalskim.
Sentiment Classification with GST Tweet Data on LSTM Based on Polarity-Popularity Model
2020Swarup Das, Dipankar Das, Anup Kumar Kolya • Sādhanā 45(140)
W badaniu wykorzystano technikę analizy sentymentu do oceny nastrojów społecznych dotyczących wprowadzenia nowego podatku GST w Indiach. Analizie poddano ponad 200 tysięcy tweetów, co umożliwiło wytrenowanie modelu LSTM.
Turkish WordNet KeNet
2021Özge Bakay, Merve Özçelik, Begüm Naz Arıcan, Esra Sanıyar • Proceedings of the 11th Global Wordnet Conference
KeNet jest jednym z dwóch wordnetów języka tureckiego. W artykule przedstawiono metodykę wykorzystaną podczas tworzenia i rozwoju KeNetu, podejście względem anotowania relacji semantycznych i problemy charakterystyczne dla języka.
English WordNet 2020: Improving and Extending a WordNet for English Using an Open-Source Methodology
2020John P. McCrae, Alexandre Rademaker, Ewa Rudnicka, Francis Bond • Proceedings of the LREC 2020 Workshop on Multimodal Wordnets (MMW2020)
Brak aktualizacji Princeton WordNetu spowodował stworzenie projektu English WordNet 2020, mającego na celu dalszy rozwój zasobu. Praca polegała m.in. na wprowadzeniu nowych synsetów i znaczeń oraz stworzeniu nowych wytycznych.
Use cases
Choose the perspective that fits you best.
Studying how emotions are expressed in Polish functional and literary texts.
You need a reliable resource that links word meaning with its emotional profile.
Use senses with emotional annotations in Słowosieć and ready-made lists of strongly negative or positive units to build polarity lexicons and evaluate sentiment analysis models.
Building an intelligent search engine that understands synonyms and related concepts.
Users enter queries in different forms, and results should also include near-synonyms and broader concepts.
Use synonymy, hypernymy, and association relations from Słowosieć to expand queries and suggest related results. You can filter synsets by part of speech or semantic domain.
Preparing reports and indicators of language data usage in an institutional project.
You must meet reporting requirements and correctly describe the use of language resources in project documentation.
Use official Słowosieć citation guidelines and request a full database dump for archiving and auditing.
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