Marek Maziarz
Wrocław University of Technology
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Featured researches published by Marek Maziarz.
language resources and evaluation | 2013
Marek Maziarz; Maciej Piasecki; Stanisław Szpakowicz
Wordnets are built of synsets, not of words. A synset consists of words. Synonymy is a relation between words. Words go into a synset because they are synonyms. Later, a wordnet treats words as synonymous because they belong in the same synset
International Journal of Data Mining, Modelling and Management | 2013
Maciej Piasecki; Michał Marcińczuk; Radosław Ramocki; Marek Maziarz
international multiconference on computer science and information technology | 2010
Maciej Piasecki; Michał Marcińczuk; Adam Musial; Radosław Ramocki; Marek Maziarz
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mexican international conference on artificial intelligence | 2013
Paweł Kędzia; Maciej Piasecki; Marek Maziarz; Michał Marcińczuk
language and technology conference | 2013
Maciej Piasecki; Łukasz Burdka; Marek Maziarz; Michał Kaliński
… Such circularity, a well-known problem, poses a practical difficulty in wordnet construction, notably when it comes to maintaining consistency. We propose to make a wordnet a net of words or, to be more precise, lexical units. We discuss our assumptions and present their implementation in a steadily growing Polish wordnet. A small set of constitutive relations allows us to construct synsets automatically out of groups of lexical units with the same connectivity. Our analysis includes a thorough comparative overview of systems of relations in several influential wordnets. The additional synset-forming mechanisms include stylistic registers and verb aspect.
language resources and evaluation | 2012
Bartosz Broda; Michał Marcińczuk; Marek Maziarz; Adam Radziszewski; Adam Wardyński
The paper presents WordNetLoom – an application for WordNet development used in the construction of a Polish WordNet called plWordNet. WordNetLoom provides two means of interaction: a form-based, implemented initially, and a graph-based introduced recently. The graphical, active presentation of WordNet structure enables direct work on the structure of synsets and lexico-semantic relations. In the paper, the both means of interaction are compared and the results of the usability evaluation performed on a group of experienced WordNetLoom users are presented. Directions of the application development were identified. A new version of WordNetWeaver – a tool supporting semi-automated WordNet expansion – is also presented. The new version is based on the user interface similar to WordNetLoom, utilises all types of WordNet relations and is embedded in WordNetLoom. The paper discusses also the role of the application in WordNet development and the extent to which the application can be used for other WordNets. A set of WWW-based tools supporting team work coordination and verification is presented, too.
international conference on computational linguistics | 2012
Ewa Rudnicka; Marek Maziarz; Maciej Piasecki; Stanisław Szpakowicz
The paper presents WordnetLoom - a new version of an application supporting the development of the Polish wordnet called plWordNet. The primary user interface of WordnetLoom is a graph-based, graphical, active presentation of wordnet structure. Linguist can directly work on the structure of synsets linked by relation links. The new version is compared with the previous one in order to show the lines of development and to illustrate the introduced difference. A new version of WordnetWeaver - a tool supporting semi-automated expansion of wordnet is also presented. The new version is based on the same user interface asWordnetLoom, utilises all types of wordnet relations and is tightly integrated with the rest of the wordnet editor. The role of the system in the wordnet development process, as well as experience from its application, are discussed. A set of WWW-based tools supporting coordination of team work and verification is also presented.
Cognitive Studies | 2011
Marek Maziarz; Maciej Piasecki; Stanisław Szpakowicz; Joanna Rabiega-Wiśniewska; Bożena Hojka
A method for the recognition of the compositionality of Multi Word Expressions (MWEs) is proposed. First, we study associations between MWEs and the structure of wordnet lexico-semantic relations. A simple method of splitting plWordNet’s MWEs into compositional and non-compositional on the basis of the hypernymy structure is discussed. However, our main goal is to build a classifier for the recognition of compositional MWEs. We assume prior MWE detection. Several experiments with different classification algorithms were performed for the purposes of this task, namely Naive Bayes classifier, Multinomial logistic regression model with a ridge estimator and Decision Table classifier. A heterogeneous set of features is based on: t-score measure for word co-occurrences, Measure of Semantic Relatedness and lexico-syntactic structure of MWEs. MWE compositionality classification is analysed as a knowledge source for automated wordnet expansion.
Archive | 2010
Bartosz Broda; Maciej Piasecki; Marek Maziarz
With the growing size of a wordnet, it is becoming more and more difficult to avoid, identify and eliminate errors in it, especially when a group of editors work in parallel. That is the case of plWordNet. Thus we need elaborated tools for both error prevention during editing, and diagnostic tools for error detection after the work was completed. In this paper, first, we present error prevention mechanisms built-in the plWordNet editor application and the system for group-working of a linguistic team. Next, we discuss diagnostic tests and diagnostic tools dedicated to plWordNet – the Polish wordnet. plWordNet has been in steady development for almost ten years and has reached the size of 193 k synsets and 255 k lexical meanings. We propose a typology of the diagnostic levels: describe formal, structural and semantic rules for seeking errors within plWordNet, as well as, a new method of automated induction of the diagnostic rules. Finally, we discuss results and benefits of the approach.
recent advances in natural language processing | 2013
Marek Maziarz; Maciej Piasecki; Ewa Rudnicka; Stanisław Szpakowicz