Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10475966" target="_blank" >RIV/00216208:11320/23:10475966 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting

Original language description

This paper describes the approach we followed for our submission to the Second Run of the Automatic Minuting Shared Task. Our method- ology centers around employing BART-based models fine-tuned on diverse summarization corpora. The segmented meeting transcripts are fed into the models, generating summaries that are subsequently combined and formatted into the final meeting minutes.

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

<a href="/en/project/GX19-26934X" target="_blank" >GX19-26934X: Neural Representations in Multi-modal and Multi-lingual Modeling</a><br>

Continuities

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

Publication year

2023

Confidentiality

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

Article name in the collection

Proceedings of the 16th International Natural Language Generation Conference: System Demonstrations

ISBN

979-8-89176-003-5

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

108-113

Publisher name

Association for Computational Linguistics

Place of publication

Prague, Czechia

Event location

Prague, Czechia

Event date

Sep 11, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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