no code implementations • LREC 2020 • Micha{\l} Marci{\'n}czuk, Marcin Oleksy, Jan Wieczorek
We have defined our guidelines based on three existing specifications for English (SpatialML, SpatialRole Labelling from SemEval-2013 Task 3 and ISO-Space1. 4 from SpaceEval 2014).
1 code implementation • RANLP 2019 • Micha{\l} Marci{\'n}czuk, Marcin Oleksy
In the paper we present the latest changes introduce to Inforex {---} a web-based system for qualitative and collaborative text corpora annotation and analysis.
no code implementations • WS 2019 • Jakub Piskorski, Laska Laskova, Micha{\l} Marci{\'n}czuk, Lidia Pivovarova, Pavel P{\v{r}}ib{\'a}{\v{n}}, Josef Steinberger, Roman Yangarber
The task is recognizing mentions of named entities in Web documents, their normalization, and cross-lingual linking.
no code implementations • RANLP 2017 • Jan Koco{\'n}, Micha{\l} Marci{\'n}czuk
In this article we present the result of the recent research in the recognition and normalisation of Polish temporal expressions.
no code implementations • RANLP 2017 • Micha{\l} Marci{\'n}czuk
In the paper we present a tool for lemmatization of multi-word common noun phrases and named entities for Polish called LemmaPL.
no code implementations • RANLP 2017 • Micha{\l} Marci{\'n}czuk, Marcin Oleksy, Jan Koco{\'n}
We report a first major upgrade of Inforex {---} a web-based system for qualitative and collaborative text corpora annotation and analysis.
no code implementations • WS 2017 • Micha{\l} Marci{\'n}czuk, Jan Koco{\'n}, Marcin Oleksy
In the paper we present an adaptation of Liner2 framework to solve the BSNLP 2017 shared task on multilingual named entity recognition.
Morphological Analysis Multilingual Named Entity Recognition +2
no code implementations • LREC 2012 • Bartosz Broda, Micha{\l} Marci{\'n}czuk, Marek Maziarz, Adam Radziszewski, Adam Wardy{\'n}ski
This paper presents our efforts aimed at collecting and annotating a free Polish corpus.
no code implementations • LREC 2012 • Micha{\l} Marci{\'n}czuk, Jan Koco{\'n}, Bartosz Broda
The server part of the system is written in PHP and the data is stored in MySQL database.