DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 36

1
Abstracts from the KAS corpus KAS-Abs 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko; Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola; Ferme, Marko; Borovič, Mladen; Boškovič, Borko; Ojsteršek, Milan; Hrovat, Goran. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
Abstract: The KAS-abs 2.0 corpus contains 125,202 automatically identified Slovenian and/or English abstracts from BSc/BA, MSc/MA, and PhD theses included in the KAS Corpus of Academic Slovene 2.0 (http://hdl.handle.net/11356/1448). The abstracts are either in Slovenian (*-abs-sl.txt, 71,567 files) or English (*-abs-en.txt, 53,635 files); note that some theses have the abstract only in one language. The abstracts are stored in the same manner as the KAS corpus, i.e. as individual files in 1,000 directories, each with the same file identifier suffix. The file with the metadata of the theses is also included. The corpus can be useful for research in e.g. machine translations and terminology extraction, or, using also the full texts from the KAS corpus, for studies in automatic summarisation. Note that there exists the related corpus http://hdl.handle.net/11356/1447, which contains the automatically sentence aligned bi-lingual abstract, and http://hdl.handle.net/11356/1446, which contains a pre-prepared summarization dataset. The corpus is further described in: Žagar, A., Kavaš, M., & Robnik Šikonja, M. (2021). Corpus KAS 2.0: cleaner and with new datasets. In Information Society - IS 2021: Proceedings of the 24th International Multiconference. https://doi.org/10.5281/zenodo.5562228 As opposed to the previous version 1.0, KAS-Abs 2.0 has been extended and most of the errors in abstract identification have been removed, e.g having the Slovene and English abstract in the same file, or the extracted abstracts also containing other parts of the thesis. The metadata file has also been improved, e.g. by giving the theses better CERIF identifiers.
Keyword: abstracts; academic writing; BSc/BA theses; MSc/MA theses; PhD theses
URL: http://hdl.handle.net/11356/1449
BASE
Hide details
2
Corpus of academic Slovene KAS 2.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
BASE
Show details
3
Summarization datasets from the KAS corpus KAS-Sum 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
BASE
Show details
4
Machine Translation datasets from the KAS corpus KAS-MT 1.0
Žagar, Aleš; Kavaš, Matic; Robnik-Šikonja, Marko. - : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2022. : Faculty of Computer and Information Science, University of Ljubljana, 2022
BASE
Show details
5
The ParlaMint corpora of parliamentary proceedings
BASE
Show details
6
The ParlaMint corpora of parliamentary proceedings
In: Lang Resour Eval (2022)
BASE
Show details
7
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
BASE
Show details
8
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.1
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
BASE
Show details
9
Abstracts from the KAS corpus KAS-Abs 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2021. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2021
BASE
Show details
10
English-Slovene term candidates KAS-biterm 1.0
Erjavec, Tomaž; Ljubešić, Nikola; Fišer, Darja. - : Jožef Stefan Institute, 2020
BASE
Show details
11
Corpus of academic Slovene KAS 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
BASE
Show details
12
CMC training corpus Janes-Tag 2.1
Erjavec, Tomaž; Fišer, Darja; Čibej, Jaka. - : Jožef Stefan Institute, 2019
BASE
Show details
13
Corpus of Academic Slovene (PhD theses) KAS-dr 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
BASE
Show details
14
Corpus of Academic Slovene (MSc/MA theses) KAS-mag 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
BASE
Show details
15
Corpus of Academic Slovene (BSc/BA theses) KAS-dipl 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2019. : Faculty of Electrical Engineering and Computer Science, University of Maribor, 2019
BASE
Show details
16
Dictionary of Twitterese Janes-Dict 1.0
Gantar, Polona; Škrjanec, Iza; Fišer, Darja. - : Faculty of Arts, University of Ljubljana, 2018
BASE
Show details
17
Dataset and baseline model of moderated content FRENK-MMC-RTV 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
BASE
Show details
18
Bilingual terminology extraction dataset KAS-biterm 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2018
BASE
Show details
19
Terminology identification dataset KAS-term 1.0
Erjavec, Tomaž; Fišer, Darja; Ljubešić, Nikola. - : Jožef Stefan Institute, 2018
BASE
Show details
20
Dataset and baseline model of moderated content FRENK-STYRIA-24sata 1.0
Ljubešić, Nikola; Erjavec, Tomaž; Fišer, Darja. - : Jožef Stefan Institute, 2018
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
34
0
2
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern