Search Results for author: Maciej Piasecki

Found 40 papers, 3 papers with code

Recognition of Polish Derivational Relations Based on Supervised Learning Scheme

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.

Constraint Based Description of Polish Multiword Expressions

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.

Machine Translation Morphological Analysis +1

Ruled-based, Interlingual Motivated Mapping of plWordNet onto SUMO Ontology

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.

WordNet2Vec: Corpora Agnostic Word Vectorization Method

no code implementations10 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.

Clustering General Classification +3

Graph-Based Approach to Recognizing CST Relations in Polish Texts

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.

Document Summarization Graph Similarity +4

Recognition of Genuine Polish Suicide Notes

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).

General Classification

Tagger for Polish Computer Mediated Communication Texts

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.

Clustering Sentence

Sparse Coding in Authorship Attribution for Polish Tweets

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.

Authorship Attribution

This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish

1 code implementation23 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.

Benchmarking

BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language

no code implementations31 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.

Information Retrieval Re-Ranking +1

plWordNet in Word Sense Disambiguation task

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).

Re-Ranking Word Sense Disambiguation

plWordNet 3.0 – Almost There

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.

Deep Neural Representations for Multiword Expressions Detection

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.

Language Modelling Natural Language Inference

Neural Language Models vs Wordnet-based Semantically Enriched Representation in CST Relation Recognition

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.

Relation Sentence

A Comparison of Sense-level Sentiment Scores

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.

Towards Mapping Thesauri onto plWordNet

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.

Keyword Extraction

Implementation of the Verb Model in plWordNet 4.0

no code implementations GWC 2018 Agnieszka Dziob, Maciej Piasecki

The paper presents an expansion of the verb model for plWordNet – the wordnet of Polish.

Towards Emotive Annotation in plWordNet 4.0

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.

Lexical Perspective on Wordnet to Wordnet Mapping

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.

Machine Translation Translation

Recognition of Hyponymy and Meronymy Relations in Word Embeddings for Polish

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.

regression Word Embeddings

Context-sensitive Sentiment Propagation in 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.

A (Non)-Perfect Match: Mapping plWordNet onto PrincetonWordNet

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.

Relation

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