PPT-OAG: Toward Linking Large-scale Heterogeneous Entity Graphs
Author : dayspiracy | Published Date : 2020-06-19
Fanjin Zhang Xiao Liu Jie Tang Yuxiao Dong Peiran Yao Jie Zhang Xiaotao Gu Yan Wang Bin Shao Rui Li and Kuansan Wang Tsinghua University Microsoft Research
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OAG: Toward Linking Large-scale Heterogeneous Entity Graphs: Transcript
Fanjin Zhang Xiao Liu Jie Tang Yuxiao Dong Peiran Yao Jie Zhang Xiaotao Gu Yan Wang Bin Shao Rui Li and Kuansan Wang Tsinghua University Microsoft Research. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . -NYU Cold Start System. Ang. Sun, . Xin. Wang, . Sen. . Xu. , . Yigit. . Kiran. , . Shakthi. . Poornima. , Andrew . Borthwick. (. Intelius. . Inc. .). Ralph . Grishman. (New York University). Outline. the . 2013 TAC KBP Entity Linking Evaluation. . . Joe Ellis (presenter. ), . Justin Mott, . Xuansong. Li, Jeremy Getman, . Jonathan . Wright, . Stephanie . Strassel. Linguistic Data Consortium. University of Pennsylvania, USA. Microposts. . Romil. Bansal, Sandeep . Panem. , . Priya. . Radhakrishnan, Manish . Gupta, . Vasudeva. . Varma. International Institute of information technology, Hyderabad. 7. th. April 2014. gmanish@microsoft.com. Heterogeneous Multicore Systems. Yan Li. 1. , Jeff Diamond. 2. , . Haibo. Lin. 1. ,. . Yudong. Yang. 3. , . Zhenxing. . Han. 3. June 4. th. , 2011. 1. IBM . China Research . Lab, . 2. University . Misleading Graphs. Good . graphs are extremely powerful tools for displaying large quantities . of complex . data; they help turn the realms of information available today . into knowledge. . But, unfortunately, some graphs deceive or mislead. This . Xiao Cheng, . Bingling. Chen, . Rajhans. . Samdani. ,. Kai-Wei Chang, . Zhiye. . Fei. . and. Dan Roth. University of Illinois at Urbana-Champaign (UI_CCG). 1. Talk Outline. Introduction. Architecture. Bad Graphs. Bad graphs. a graph should pictorially display data in a sensible and meaningful way. many graphs in the public domain fail this. two reasons why this happens:. poor design . intentionally deceiving. Thanks to Mr. Hammond @ . www.mrhammond.org/math/mathlessons/7-8.ppt. Review. We have been looking at many different ways to present data. . Now let’s see how people can use these charts and graphs to mislead you.. John Lehmann, Sean Monahan, Luke . Nezda. , Arnold Jung, Ying Shi. Outline. Entity Linking. Slot Filling. Surprise Slot Filling. Entity Linking Task Definition. Entity linking . involves resolving an . (NLP in Practice). Delip Rao. delip@jhu.edu. Last class …. Understood . how to solve and ace in NLP tasks. general . methodology or . approaches. End-to-End development using an example task. Named Entity Recognition. 1 Implicit Entity Linking in Tweets Sujan Perera , Pablo N. Mendes , Adarsh Alex, Amit P. Sheth , Krishnaprasad Thirunarayan Kno.e.sis Center, Wright State University IBM Research, Almaden Presenter : . Shu-Ya. Li. Authors : . Venkatesh. . Ganti. , . Arnd. Christian . König. , . Rares. . Vernica. KDD, . 2008 . 2. Outline. Motivation. Objective. Methodology. Experiments and Results. Lingxiao Ma. . †. , Zhi Yang. . †. , Youshan Miao. ‡. , Jilong Xue. ‡. , Ming Wu. ‡. , Lidong Zhou. ‡. , . Yafei. Dai. . †. †. . Peking University. ‡ . Microsoft Research. USENIX ATC ’19, Renton, WA, USA.
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