ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A10457049" target="_blank" >RIV/00216208:11320/22:10457049 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2022.lrec-1.340.pdf" target="_blank" >https://aclanthology.org/2022.lrec-1.340.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

ELITR Minuting Corpus: A Novel Dataset for Automatic Minuting from Multi-Party Meetings in English and Czech

Original language description

Taking minutes is an essential component of every meeting, although the goals, style, and procedure of this activity (&quot;minuting&quot; for short) can vary. Minuting is a relatively unstructured writing act and is affected by who takes the minutes and for whom the minutes are intended. With the rise of online meetings, automatic minuting would be an important use-case for the meeting participants and those who might have missed the meeting. However, automatically generating meeting minutes is a challenging problem due to various factors, including the quality of automatic speech recognition (ASR), public availability of meeting data, subjective knowledge of the minuter, etc. In this work, we present the first of its kind dataset on Automatic Minuting. We develop a dataset of English and Czech technical project meetings, consisting of transcripts generated from ASRs, manually corrected, and minuted by several annotators. Our dataset, ELITR Minuting Corpus, consists of 120 English and 59 Czech meetings, coveri

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

ISBN

979-10-95546-72-6

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

3174-3182

Publisher name

European Language Resources Association

Place of publication

Marseille, France

Event location

Marseille, France

Event date

Jun 20, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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