no code implementations • RANLP 2021 • Aleksander Wawer
The current natural language processing is strongly focused on raising accuracy.
1 code implementation • COLING 2022 • Aleksander Leczkowski, Justyna Grudzińska, Manuel Vargas Guzmán, Aleksander Wawer, Aleksandra Siemieniuk
Although it is widely agreed that world knowledge plays a significant role in quantifier scope disambiguation (QSD), there has been only very limited work on how to integrate this knowledge into a QSD model.
no code implementations • 6 Aug 2023 • Roman Dušek, Aleksander Wawer, Christopher Galias, Lidia Wojciechowska
The aim of this article is to investigate the fine-tuning potential of natural language inference (NLI) data to improve information retrieval and ranking.
2 code implementations • WS 2019 • Bogdan Gliwa, Iwona Mochol, Maciej Biesek, Aleksander Wawer
This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries.
Ranked #1 on
dialogue summary
on SAMSum
Abstractive Dialogue Summarization
Abstractive Text Summarization
+1
no code implementations • SEMEVAL 2019 • Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka
The article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums.