http://hdl.handle.net/11321/4 2026-04-02T20:55:50Z http://hdl.handle.net/11321/1003 Wordnet for Definition Augmentation with Encoder-Decoder Architecture Wojtasik, Konrad; Janz, Arkadiusz; Alberski, Bartłomiej; Piasecki, Maciej Data augmentation is a difficult task in Natural Language Processing. Simple methods that can be relatively easily applied in other domains like insertion, deletion or substitution, mostly result in changing the sentence meaning significantly and obtaining an incorrect example. Wordnets are potentially a perfect source of rich and high quality data that when integrated with the powerful capacity of generative models can help to solve this complex task. In this work, we use plWordNet, which is a wordnet of the Polish language, to explore the capability of encoder-decoder architectures in data augmentation of sense glosses. We discuss the limitations of generative methods and perform qualitative review of generated data samples. 2023-01-01T00:00:00Z http://hdl.handle.net/11321/1002 Wordnet-oriented Recognition of Derivational Relations Walentynowicz, Wiktor; Piasecki, Maciej Derivational relations are an important element in defining meanings, as they help to explore word-formation schemes and predict senses of derivates (derived words). In this work, we analyse different methods of representing derivational forms obtained from WordNet – from quantitative vectors to contextual learned embedding methods – and compare ways of classifying the derivational relations occurring between them. Our research focuses on the explainability of the obtained representations and results. The data source for our research is plWordNet, which is the wordnet of the Polish language and includes a rich set of derivation examples. 2023-01-01T00:00:00Z http://hdl.handle.net/11321/1001 EnglishWordNet 2020: Improving and Extending aWordNet for English using an Open-Source Methodology McCrae, John; Rademaker, Alexandre; Rudnicka, Ewa; Bond, Francis The Princeton WordNet, while one of the most widely used resources for NLP, has not been updated for a long time, and as such a new project English WordNet has arisen to continue the development of the model under an open-source paradigm. In this paper, we detail the second release of this resource entitled “English WordNet 2020”. The work has focused firstly, on the introduction of new synsets and senses and developing guidelines for this and secondly, on the integration of contributions rom other projects. We present the changes in this edition, which total over 15,000 changes over the previous release. 2020-05-01T00:00:00Z http://hdl.handle.net/11321/1000 Towards a methodology for filtering out gaps and mismatches across wordnets: the case of noun synsets in plWordNet and Princeton WordNet Rudnicka, Ewa; Witkowski, Wojciech; Grabowski, Łukasz This paper presents the results of large-scale noun synset mapping between plWordNet, the wordnet of Polish, and Princeton WordNet, the wordnet of English, which have shown high predominance of inter-lingual hyponymy relation over inter-synonymy relation. Two main sources of such effect are identified in the paper: differences in the methodologies of construction of plWN and PWN and cross-linguistic differences in lexicalization of concepts and grammatical categories between English and Polish. Next, we propose a typology of specific gaps and mismatches across wordnets and a rule-based system of filters developed specifically to scan all I(inter-lingual)-hyponymy links between plWN and PWN. The proposed system, it should be stressed, also enables one to pinpoint the frequencies of the identified gaps and mismatches. 2016-01-01T00:00:00Z http://hdl.handle.net/11321/999 A (Non)-Perfect Match: Mapping plWordNet onto Princeton WordNet Rudnicka, Ewa; Witkowski, Wojciech; Piasecki, Maciej The paper reports on the methodology and final results of a large-scale synset mapping between plWordNet and Princeton WordNet. Dedicated manual and semi-automatic mapping procedures as well as interlingual relation types for nouns, verbs, adjectives and adverbs are described. The statistics of all types of interlingual relations are also provided. 2021-01-01T00:00:00Z http://hdl.handle.net/11321/998 Lexical Perspective on Wordnet to Wordnet Mapping Rudnicka, Ewa; Bond, Francis; Grabowski, Łukasz; Piasecki, Maciej; Piotrowski, Tadeusz The paper presents a feature-based model of equivalence targeted at (manual) sense linking between Princeton WordNet and plWordNet. The model incorporates insights from lexicographic and translation theories on bilingual equivalence and draws on the results of earlier synsetlevel mapping of nouns between Princeton WordNet and plWordNet. It takes into account all basic aspects of language such as form, meaning and function and supplements them with (parallel) corpus frequency and translatability. Three types of equivalence are distinguished, namely strong, regular and weak depending on the conformity with the proposed features. The presented solutions are language neutral and they can be easily applied to language pairs other than Polish and English. Sense-level mapping is a more finegrained mapping than the existing synset mappings and is thus of great potential to human and machine translation. 2018-01-01T00:00:00Z http://hdl.handle.net/11321/997 Wordnet-based Evaluation of Large Distributional Models for Polish Piasecki, Maciej; Czachor, Gabriela; Janz, Arkadiusz; Kaszewski, Dominik; Kędzia, Paweł The paper presents construction of large scale test datasets for word embeddings on the basis of a very large wordnet. They were next applied for evaluation of word embedding models and used to assess and compare the usefulness of different word embeddings extracted from a very large corpus of Polish. We analysed also and compared several publicly available models described in literature. In addition, several large word embeddings models built on the basis of a very large Polish corpus are presented. 2018-01-01T00:00:00Z http://hdl.handle.net/11321/996 plWordNet 3.0 – Almost There Piasecki, Maciej; Szpakowicz, Stan; Maziarz, Marek; Rudnicka, Ewa It took us nearly ten years to get from no wordnet for Polish to the largest wordnet ever built. We started small but quickly learned to dream big. Now we are about to release plWordNet 3.0-emo – complete with sentiment and emotions annotated – and a domestic version of PrincetonWordNet, larger thanWordNet 3.1 by nearly ten thousand newly added words. The paper retraces the road we travelled and talks a little about the future. 2016-01-01T00:00:00Z http://hdl.handle.net/11321/995 Introduction to the special issue: On wordnets and relations Piasecki, Maciej; Szpakowicz, Stan; Fellbaum, Christiane; Pedersen, Bolette Sandford The present paper is concerned with the issues of wordnets and relations. 2013-08-15T00:00:00Z http://hdl.handle.net/11321/994 Multisłownik: Linking plWordNet-based Lexical Data for Lexicography and Educational Purposes Ogrodniczuk, Maciej; Bilińska, Joanna; Bronk, Zbigniew; Kieraś, Witold Multisłownik is an automated integrator of Polish lexical data retrieved from multiple available online sources intended to be used in various scenarios requiring access to such data, most prominently dictionary creation, linguistic studies and education. In contrast to many available internet dictionaries Multisłownik is WordNet-centric, capturing the core definitions from Słowosieć synsets. The paper provides details of construction of the resource, discussed the difficulties related to linking different logical structures of underlying data and investigates two sample scenarios for using the resulting platform. 2018-01-01T00:00:00Z