Dialogues are synthesized over multiple question turns, each of which is injected with a set of cross-turn semantic relationships. The dataset is designed to contain minimal biases and has detailed annotations for the different types of reasoning over the spatio-temporal space of video. To address these limitations, in this paper, we present DVD, a Diagnostic Dataset for Video-grounded Dialogue. These benchmarks are also not explicitly designed to minimise biases that models can exploit without actual reasoning. Existing benchmarks do not have enough annotations to thoroughly analyze dialogue systems and understand their capabilities and limitations in isolation. Building such dialogue systems is a challenging problem, involving various reasoning types on both visual and language inputs. Publisher = "Association for Computational Linguistics",Ībstract = "A video-grounded dialogue system is required to understand both dialogue, which contains semantic dependencies from turn to turn, and video, which contains visual cues of spatial and temporal scene variations.
Mohabbatein dialogues dvd mods#
| IJCNLP SIG: Publisher: Association for Computational Linguistics Note: Pages: 5651–5665 Language: URL: DOI: 10.18653/v1/2021.acl-long.439 Bibkey: le-etal-2021-dvd Copy Citation: BibTeX MODS XML Endnote More options… PDF: Code facebookresearch/DVDialogues Data CATER, CLEVR, = ": A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue",īooktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)", Anthology ID: 2021.acl-long.439 Volume: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) Month: August Year: 2021 Address: Online Venues: ACL
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Our code and dataset are publicly available. In total, DVD is built from 11k CATER synthetic videos and contains 10 instances of 10-round dialogues for each video, resulting in more than 100k dialogues and 1M question-answer pairs. We use DVD to analyze existing approaches, providing interesting insights into their abilities and limitations.
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Abstract A video-grounded dialogue system is required to understand both dialogue, which contains semantic dependencies from turn to turn, and video, which contains visual cues of spatial and temporal scene variations.