no code implementations • WS 2019 • Aleks Wawer, er, Grzegorz Wojdyga, Justyna Sarzy{\'n}ska-Wawer
The goal of our paper is to compare psycholinguistic text features with fact checking approaches to distinguish lies from true statements.
no code implementations • RANLP 2019 • Aleks Wawer, er, Julita Sobiczewska
In the second we train models on all available data except the given test collection, which we use for testing (one vs rest cross-domain).
no code implementations • WS 2018 • Agnieszka Mykowiecka, Aleks Wawer, er, Malgorzata Marciniak
The paper addresses detection of figurative usage of words in English text.
no code implementations • WS 2018 • Agnieszka Mykowiecka, Malgorzata Marciniak, Aleks Wawer, er
The paper addresses the classification of isolated Polish adjective-noun phrases according to their metaphoricity.
no code implementations • WS 2018 • Filip Skurniak, Maria Janicka, Aleks Wawer, er
This paper describes multiple solutions designed and tested for the problem of word-level metaphor detection.
no code implementations • RANLP 2017 • Aleks Wawer, er, Agnieszka Mykowiecka
In this paper we describe experiments with automated detection of metaphors in the Polish language.
no code implementations • WS 2017 • Aleks Wawer, er, Agnieszka Mykowiecka
This paper compares two approaches to word sense disambiguation using word embeddings trained on unambiguous synonyms.
no code implementations • LREC 2016 • Aleks Wawer, er
The paper contains a description of OPFI: Opinion Finder for the Polish Language, a freely available tool for opinion target extraction.