Maciej Piasecki

Maciej Piasecki, Stan Szpakowicz, Marek Maziarz, Ewa Rudnicka. Proceedings of the 8th Global WordNet Conference (GWC). 2016.

Semantic relations between verbs in Polish WordNet 2.0 The noun dominates wordnets. The lexical semantics of verbs is usually under-represented, even if it is essential in any semantic analysis which goes beyond statistical methods. We present our attempt to remedy the imbalance; it begins by designing a sufficiently rich set of wordnet relations for verbs. We discuss and show in detail such a relation set in the largest Polish wordnet. Our design decisions, while as general and language-independent as possible, are mainly informed by our desire to capture the nature and peculiarities of the verb system in Polish.

Semantic relations among nouns in Polish WordNet grounded in lexicographic and semantic tradition The paper describes a system of lexico-semantic relations proposed for the nominal part of plWordNet 2.0 – the largest Polish wordnet. We briefly introduce a wordnet as a large electronic thesaurus. We discuss sixteen nominal relations together with many sub-types proposed for plWordNet 2.0. Each relation is based on linguistic intuition and supported by a set of tests which facilitate its identification. There are two main groups: pure lexico-semantic relations and semantic-derivational relations.

Semantic relations among adjectives in Polish WordNet 2.0: a new relation set, discussion and evaluation Adjectives in wordnets are often neglected: there are many fewer of them than nouns, and relations among them are sometimes not as varied as those among nouns or verbs. Polish WordNet 1.0 was no exception. Version 2.0 aims to correct that. We present an overview of a much larger set of lexical-semantic relations which connect adjectives to the other parts of the network. Our choice of relations has been motivated by linguistic considerations, especially the concerns of the Polish lexical semantics, and by pragmatic reasons. The discussion includes detailed substitution tests, meant to ensure consistency among wordnet editors.

Automatic Prompt System in the Process of Mapping plWordNet on Princeton WordNet The paper offers a critical evaluation of the power and usefulness of an automatic prompt system based on the extended Relaxation Labelling algorithm in the process of (manual) mapping plWordNet on Princeton WordNet. To this end the results of manual mapping – that is inter-lingual relations between plWN and PWN synsets – are juxtaposed with the automatic prompts that were generated for the source language synsets to be mapped. We check the number and type of inter-lingual relations introduced on the basis of automatic prompts and the distance of the respective prompt synsets from the actual target language synsets.

Marek Maziarz, Maciej Piasecki, Ewa Rudnicka, Stan Szpakowicz. Proceedings of the Seventh Global Wordnet Conference. 2014.

A wordnet is many things to many people: a graph of interrelated lexicalised concepts, a taxonomy, a thesaurus, and so on. A wordnet makes good sense as the mainstay of any deep automated semantic analysis of text. We have begun the construction of a multi-component, multi-use toolkit of natural language processing tools with plWordNet, a very large Polish wordnet, at its centre. The components will include plWordNet and its mapping onto an ontology (the upper level and elements of the middle level), a lexicon of proper names and a semantic valency lexicon. Some of those elements will be aligned with plWordNet, and there will be a mapping onto Princeton WordNet. Several challenging applications will show the utility of the toolkit in practice.