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Everyday news coverage has shifted from traditional broadcasts towards a wide range of presentation formats such as first-hand, unedited video footage.
Videoqa: question answering on news video
Hui Yang, Lekha Chaisorn, Yunlong Zhao, Shi-Yong Neo, and Tat-Seng Chua · 2003
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A new approach to the study of translationese: Machine-learning the difference between original and translated text
Marco Baroni and Silvia Bernardini · 2006
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Wikipedia survey–overview of results
Ruediger Glott, Philipp Schmidt, and Rishab Ghosh · 2010
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Collecting highly parallel data for paraphrase evaluation
David Chen and William B Dolan · 2011
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Translationese and its dialects
Moshe Koppel and Noam Ordan · 2011
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Why we watch the news: a dataset for exploring sentiment in broadcast video news
Joseph G Ellis, Brendan Jou, and Shih-Fu Chang · 2014
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Stanford i2v: a news video dataset for query-by-image experiments
André Araujo, Jason Chaves, David Chen, Roland Angst, and Bernd Girod · 2015
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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Framenet ii: Extended theory and practice
Josef Ruppenhofer, Michael Ellsworth, Myriam Schwarzer-Petruck, Christopher R Johnson, and Jan Scheffczyk · 2016
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Msr-vtt: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui · 2016
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Localizing moments in video with natural language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, and Bryan Russell · 2017
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning · 2018
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al · 2019
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Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic · 2019
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V3c–a research video collection
Luca Rossetto, Heiko Schuldt, George Awad, and Asad A Butt · 2019
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Vatex: A large-scale, high-quality multilingual dataset for video-and-language research
Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, and William Yang Wang · 2019
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George Awad, Asad A Butt, Keith Curtis, Yooyoung Lee, Jonathan Fiscus, Afzal Godil, Andrew Delgado, Jesse Zhang, Eliot Godard, Lukas Diduch, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Tvr: A large-scale dataset for video-subtitle moment retrieval
Jie Lei, Licheng Yu, Tamara L Berg, and Mohit Bansal · 2020
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Gaia: A fine-grained multimedia knowledge extraction system
Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, et al · 2020
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Cross-media structured common space for multimedia event extraction
Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2022
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Bridging video-text retrieval with multiple choice questions
Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, and Ping Luo · 2022
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Wikiomnia: generative qa corpus on the whole russian wikipedia
Dina Pisarevskaya and Tatiana Shavrina · 2022
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Mumuqa: Multimedia multi-hop news question answering via cross-media knowledge extraction and grounding
Revant Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, et al · 2022
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Ambiguous images with human judgments for robust visual event classification
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Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji, and Shih-Fu Chang · 2020
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Kilt: a benchmark for knowledge intensive language tasks
Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, et al · 2020
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Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman · 2021
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Is space-time attention all you need for video understanding?
Gedas Bertasius, Heng Wang, and Lorenzo Torresani · 2021
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Rudder: A cross lingual video and text retrieval dataset
Rishabh Dabral, Ganesh Ramakrishnan, Preethi Jyothi, et al · 2021
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Clip2video: Mastering video-text retrieval via image clip
Han Fang, Pengfei Xiong, Luhui Xu, and Yu Chen · 2021
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Multilingual multimodal pre-training for zero-shot cross-lingual transfer of vision-language models
Po-Yao Huang, Mandela Patrick, Junjie Hu, Graham Neubig, Florian Metze, and Alexander Hauptmann · 2021
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mtvr: Multilingual moment retrieval in videos
Jie Lei, Tamara L Berg, and Mohit Bansal · 2021
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Kate Sanders, Reno Kriz, Anqi Liu, and Benjamin Van Durme · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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A study in contradiction: Data and annotation for aida focusing on informational conflict in russia-ukraine relations
Jennifer Tracey, Ann Bies, Jeremy Getman, Kira Griffitt, and Stephanie Strassel · 2022
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Object-aware video-language pre-training for retrieval
Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, and Mike Zheng Shou · 2022
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Internvideo: General video foundation models via generative and discriminative learning
Yi Wang, Kunchang Li, Yizhuo Li, Yinan He, Bingkun Huang, Zhiyu Zhao, Hongjie Zhang, Jilan Xu, Yi Liu, Zun Wang, et al · 2022
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Chinaopen: A dataset for open-world multimodal learning
Aozhu Chen, Ziyuan Wang, Chengbo Dong, Kaibin Tian, Ruixiang Zhao, Xun Liang, Zhanhui Kang, and Xirong Li · 2023
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Watching the news: Towards videoqa models that can read
Soumya Jahagirdar, Minesh Mathew, Dimosthenis Karatzas, and CV Jawahar · 2023
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Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, and Ji-Rong Wen · 2023
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C2kd: Cross-lingual cross-modal knowledge distillation for multilingual text-video retrieval
Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogerio Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, and James Glass · 2023
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Maupqa: Massive automatically-created polish question answering dataset
Piotr Rybak · 2023
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Newsnet: A novel dataset for hierarchical temporal segmentation
Haoqian Wu, Keyu Chen, Haozhe Liu, Mingchen Zhuge, Bing Li, Ruizhi Qiao, Xiujun Shu, Bei Gan, Liangsheng Xu, Bo Ren, et al · 2023
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A large cross-modal video retrieval dataset with reading comprehension
Weijia Wu, Yuzhong Zhao, Zhuang Li, Jiahong Li, Hong Zhou, Mike Zheng Shou, and Xiang Bai · 2023
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mplug-2: A modularized multi-modal foundation model across text, image and video
Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, et al · 2023
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