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ELITR Minuting Corpus

Authors: Nedoluzhko, Anna; Singh, Muskaan; Hledíková, Marie; Tirthankar, Ghosal; Bojar, Ondřej;
Abstract

ELITR Minuting Corpus consists of transcripts of meetings in Czech and English, their manually created summaries ("minutes") and manual alignments between the two. Czech meetings are in the computer science and public administration domains and English meetings are in the computer science domain. Each transcript has one or multiple corresponding minutes files. Alignments are only provided for a portion of the data. This corpus contains 59 Czech and 120 English meeting transcripts, consisting of 71097 and 87322 dialogue turns respectively. For Czech meetings, we provide 147 total minutes with 55 of them aligned. For English meetings, it is 256 total minutes with 111 of them aligned. Please find a more detailed description of the data in the included README and stats.tsv files. If you use this corpus, please cite: Nedoluzhko, A., Singh, M., Hledíková, M., Ghosal, T., and Bojar, O. (2022). ELITR Minuting Corpus: A novel dataset for automatic minuting from multi-party meetings in English and Czech. In Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC-2022), Marseille, France, June. European Language Resources Association (ELRA). In print. @inproceedings{elitr-minuting-corpus:2022, author = {Anna Nedoluzhko and Muskaan Singh and Marie Hled{\'{\i}}kov{\'{a}} and Tirthankar Ghosal and Ond{\v{r}}ej Bojar}, title = {{ELITR} {M}inuting {C}orpus: {A} Novel Dataset for Automatic Minuting from Multi-Party Meetings in {E}nglish and {C}zech}, booktitle = {Proceedings of the 13th International Conference on Language Resources and Evaluation (LREC-2022)}, year = 2022, month = {June}, address = {Marseille, France}, publisher = {European Language Resources Association (ELRA)}, note = {In print.} }

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    Average
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
Average
Average
Average
Funded by
EC| ELITR
Project
ELITR
European Live Translator
  • Funder: European Commission (EC)
  • Project Code: 825460
  • Funding stream: H2020 | RIA
Related to Research communities
Digital Humanities and Cultural Heritage
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