MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding-Reference-Cited by-同舟云学术

MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding

Published:2024-05-13 Issue: Volume:12 Page:4395-4406
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Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Meng Zixiang¹^ORCID,Gao Qiang¹^ORCID,Guo Di¹^ORCID,Li Yunlong¹^ORCID,Li Bobo¹^ORCID,Fei Hao²^ORCID,Wu Shengqiong³^ORCID,Li Fei¹^ORCID,Teng Chong¹^ORCID,Ji Donghong¹^ORCID

Affiliation:

1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education, School of Cyber Science and Engineering, Wuhan University, Wuhan, China

2. National University of Singapore, Singapore, Singapore

3. Sea-NExT Joint Lab, National University of Singapore, Singapore, Singapore

Funder

open project of Sichuan Provincial Key Laboratory of Philosophy, the Social Science for Language Intelligence in Special Education

National Key Research and Development Program of China

National Natural Science Foundation of China

CCF-Baidu Open Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645677

Reference47 articles.

1. FacebookVideoLive18: A Live Video Streaming Dataset for Streams Metadata and Online Viewers Locations

2. Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65--72.

3. Anna Belova, Wen He, and Ziyi Zhong. 2019. E-Sports Talent Scouting Based on Multimodal Twitch Stream Data. CoRR, Vol. abs/1907.01615 (2019). showeprint[arXiv]1907.01615 http://arxiv.org/abs/1907.01615

4. Narrative Bytes

5. Michael Bratman. 1987. Intention plans and practical reason. (1987).