PolEval 2020 papers and presentations
PolEval 2020 submissions were presented at the online AI & NLP Conference (October 26, 2020). The presentations will be made available as we receive them from the authors:
- PolEval 2020: Introduction – Maciej Ogrodniczuk, Łukasz Kobyliński
- Results of the PolEval 2020 Shared Task 1: Post-editing and rescoring of automatic speech recognition results – Danijel Koržinek
- Post-editing and Rescoring of ASR Results with Edit Operations Tagging – Tomasz Ziętkiewicz
- Post-editing and Rescoring of Automatic Speech Recognition Results with OpenNMT-APE – Dominika Wnuk, Krzysztof Wołk
- t-REx: The Rescorer-Extender approach to ASR improvement – Adam Kaczmarek, Tomasz Syposz, Michał Martusewicz, Jan Chorowski, Paweł Rychlikowski
- Results of the PolEval 2020 Shared Task 2: Morphosyntactic Tagging of Middle, New and Modern Polish – Marcin Woliński, Witold Kieraś, Komosińska, Włodzimierz Gruszczyński
- KFTT: Polish Full Neural Morphosyntactic Tagger – Krzysztof Wróbel
- Simple yet Effective Baseline for Morphosyntactic Tagging of Middle, New and Modern Polish – Piotr Rybak, Agnieszka Rybak
- CMC Tagger in the Task of Tagging Historical Texts – Wiktor Walentynowicz, Tomasz Kot
- Results of the PolEval 2020 Shared Task 3: Word Sense Disambiguation – Arkadiusz Janz
- Polbert: Attacking Polish NLP Tasks with Transformers – Dariusz Kłeczek
- Results of the PolEval 2020 Shared Task 4: Information Extraction and Entity Typing from Long Documents with Complex Layouts – Filip Graliński
- CLEX — Information Extraction from Documents with Complex Layouts – Michał Marcińczuk, Michał Olek, Marcin Oleksy, Jan Wieczorek
- BiLSTM Recurrent Neural Networks in Heterogeneous Ensemble Models for Named Entity Recognition Problem in Long Polish Unstructured Documents – Aleksandra Świetlicka, Adam Iwaniak, Mateusz Piwowarczyk
Workshop proceedings were published by the Institute of Computer Science, Polish Academy of Sciences. Please cite the following:
@proceedings{ogr:kob:20:poleval,
editor = {Maciej Ogrodniczuk and Łukasz Kobyliński},
title = {{Proceedings of the PolEval 2020 Workshop}},
year = {2020},
address = {Warsaw, Poland},
publisher = {Institute of Computer Science, Polish Academy of Sciences},
url = {http://poleval.pl/files/poleval2020.pdf},
isbn = "978-83-63159-29-0"}
}