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Live video commenting systems are an emerging feature of online video sites.Recently the Chinese video sharing platform Bilibili, has popularised a novelcaptioning system where user comments are displayed as streams of movingsubtitles overlaid on the video playback screen and broadcast to all viewers inreal-time. LiveBot was recently introduced as a novel Automatic Live VideoCommenting (ALVC) application. This enables the automatic generation of livevideo comments from both the existing video stream and existing viewerscomments. In seeking to reproduce the baseline results reported in the originalLivebot paper, we found differences between the reproduced results using theproject codebase and the numbers reported in the paper. Further examination ofthis situation suggests that this may be caused by a number of small issues inthe project code, including a non-obvious overlap between the training and testsets. In this paper, we study these discrepancies in detail and propose analternative baseline implementation as a reference for other researchers inthis field.

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts