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pro vyhledávání: '"Jerbi, Achiya"'
Object detection is a fundamental task in computer vision, requiring large annotated datasets that are difficult to collect, as annotators need to label objects and their bounding boxes. Thus, it is a significant challenge to use cheaper forms of sup
Externí odkaz:
http://arxiv.org/abs/2009.14558
Frequently Asked Questions (FAQ) webpages are created by organizations for their users. FAQs are used in several scenarios, e.g., to answer user questions. On the other hand, the content of FAQs is affected by user questions by definition. In order t
Externí odkaz:
http://arxiv.org/abs/2009.01460
Autor:
Erera, Shai, Shmueli-Scheuer, Michal, Feigenblat, Guy, Nakash, Ora Peled, Boni, Odellia, Roitman, Haggai, Cohen, Doron, Weiner, Bar, Mass, Yosi, Rivlin, Or, Lev, Guy, Jerbi, Achiya, Herzig, Jonathan, Hou, Yufang, Jochim, Charles, Gleize, Martin, Bonin, Francesca, Konopnicki, David
We present a novel system providing summaries for Computer Science publications. Through a qualitative user study, we identified the most valuable scenarios for discovery, exploration and understanding of scientific documents. Based on these findings
Externí odkaz:
http://arxiv.org/abs/1908.11152
Currently, no large-scale training data is available for the task of scientific paper summarization. In this paper, we propose a novel method that automatically generates summaries for scientific papers, by utilizing videos of talks at scientific con
Externí odkaz:
http://arxiv.org/abs/1906.01351