Differences between revisions 1 and 21 (spanning 20 versions)

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

Download

Annotated data

Licence

CC-BY 4.0

Presentation

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

Publications

Please cite the following publication when referring to POSMAC:

List of publications

Piotr Pęzik, Agnieszka Mikołajczyk, Adam Wawrzyński, Bartłomiej Nitoń, and Maciej Ogrodniczuk. Keyword extraction from short texts with a text-to-text Transfer Transformer. In Edward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, and Marek Krótkiewicz, editors, ACIIDS 2022: Recent Challenges in Intelligent Information and Database Systems, number 1716 in Communications in Computer and Information Science (CCIS), pages 530–542. Springer Nature Singapore, 2022.

-  ⇤ ← Revision 1 as of 2021-12-14 20:11:00 → 
  Size: 930
  Editor: MaciejOgrodniczuk
  Comment:
+   ← Revision 21 as of 2023-04-21 11:49:34 → ⇥
  Size: 2473
  Editor: MaciejOgrodniczuk
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 1:
+## page was renamed from POSMC
-Line 3:
+Line 4:
-The Polish Open Science Metadata Corpus (POSMC) is a collection of 216,214 abstracts of scientific publications compiled in the [[CURLICAT]] project. The Polish subset of CURLICAT contains data acquired from the [[https://bibliotekanauki.pl/|Library of Science]], 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.
+The Polish Open Science Metadata Corpus (POSMAC) is a subset of the [[CURLICAT]] corpus. It contains data acquired from the [[https://bibliotekanauki.pl/|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 ||
-Line 7:
+Line 25:
- * [[http://curlicat.nlp.ipipan.waw.pl/download/latest/pl-raw.zip|Raw data]]
+{{{#!wiki comment 
* [[http://curlicat.nlp.ipipan.waw.pl/download/latest/pl-raw.zip|Raw data]]
}}}
-Line 14:
+Line 34:
+== Presentation ==

[[http://zil.ipipan.waw.pl/seminarium-archiwum?action=AttachFile&do=view&target=2021-12-20.pdf|Keyword Extraction with a Text-to-text Transfer Transformer]] (presentation in Polish at NLP seminar, December 2021)
-Line 16:
+Line 40:
-Pęzik P., Mikołajczyk A., Wawrzyński A., Nitoń B., Ogrodniczuk M. ''Keyword Extraction from Short Texts with a Text-to-text Transfer Transformer (T5)'' (in preparation).
+Please cite the following publication when referring to POSMAC:

<<BibMate(key, "pez:etal:22:aciids", omitYears=true)>>

Diff for "POSMAC"

Menu

Wiki