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POSMAC

The Polish Open Science Metadata Corpus

The Polish Open Science Metadata Corpus (POSMAC) is a subset of the CURLICAT corpus. It contains data acquired from the Library of Science (LoS), a platform providing open access to full texts of articles published in over 900 Polish scientific journals and full texts of selected scientific books together with extensive bibliographic metadata. More than 70 percent of the metadata records included in the resulting corpus contain keywords describing the content of the indexed articles. This makes POSMAC a particularly valuable source of data for training keyword generation models and semantic indexing systems.

Domains

Top 10 scientific domains represented in the POSMAC:

Domains

Documents

With keywords

Engineering and technical sciences

58 974

57 165

Social sciences

58 166

41 799

Agricultural sciences

29 811

15 492

Humanities

22 755

11 497

Exact and natural sciences

13 579

9 185

Humanities, Social sciences

12 809

7 063

Medical and health sciences

6 030

3 913

Medical and health sciences, Social sciences

828

571

Humanities, Medical and health sciences, Social sciences

601

455

Engineering and technical sciences, Humanities

312

312

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Licence

CC-BY 4.0

Presentation

Keyword Extraction with a Text-to-text Transfer Transformer (presentation in Polish at NLP seminar, December 2021)

Publications

  • Pęzik P., Mikołajczyk A., Wawrzyński A., Nitoń B., Ogrodniczuk M. Keyword Extraction from Short Texts with a Text-to-text Transfer Transformer (T5). In: Szczerbicki, E. et al. (ed.) ACIIDS 2022 Proceedings. Springer Nature Switzerland AG. (forthcoming, see its arXiv copy)

  • Pęzik P., Mikołajczyk A., Wawrzyński A., Żarnecki F., Nitoń B., Ogrodniczuk M. Transferable Keyword Extraction and Generation from Scholarly Documents with Text-to-text Language Models. Poster presented at the Third Workshop on Scholarly Document Processing (SDP 2022).