MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization

HangChen HangChen, Chao-Han Huck Yang, Jia-Chen Gu, Sabato Marco Siniscalchi, Jun Du. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Authors

Jia-Chen Gu (ORCID: https://orcid.org/0000-0002-8801-1438)
Chao-Han Huck Yang (ORCID: https://orcid.org/0000-0003-2879-8811)
Sabato Marco Siniscalchi (ORCID: https://orcid.org/0000-0002-0770-0507)
Jun Du
HangChen HangChen

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.18653/v1/2025.acl-long.753
Citations: 1
Primary Topic: Topic Modeling
Type: article
Field-Weighted Citation Impact: 2.48

Funders

National Natural Science Foundation of China

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article

MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization

Jia-Chen Gu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Jun Du et al.

Jan 1, 2025

1 citations

Topic Modeling

2.48

article

MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization

Jia-Chen Gu, Chao-Han Huck Yang, Sabato Marco Siniscalchi, Jun Du, HangChen HangChen

January 1, 2025article en

1 citations

Abstract

National Natural Science Foundation of China

Openalex Percentile: Top 9%

Topic Modeling

2.48

DOI Open Access PDF OpenAlex

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MISP-Meeting: A Real-World Dataset with Multimodal Cues for Long-form Meeting Transcription and Summarization — Jia-Chen Gu, Chao-Han Huck Yang, et al. · (2025) | TGRS Research Map | TGRS