Abstract | ||
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This paper discusses the problem of shallow parsing of Polish, most specifically - chunking. We describe the linguistic work on annotation guidelines development, manual corpus annotation, and preparing the neural models used for chunking - the first one for the Polish language, and conducted the evaluation of these models. Finally, we describe conclusions and plans for future work. (C) 2021 The Authors. Published by Elsevier B.V. |
Year | DOI | Venue |
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2021 | 10.1016/j.procs.2021.08.103 | KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021) |
Keywords | DocType | Volume |
natural language processing, chunking, data corpora | Conference | 192 |
ISSN | Citations | PageRank |
1877-0509 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marcin Oleksy | 1 | 0 | 0.34 |
Wiktor Walentynowicz | 2 | 0 | 0.34 |
Jan Wieczorek | 3 | 0 | 0.34 |