PPT-TOPIC: TOward Perfect InfluenCe Graph Summarization
Author : luanne-stotts | Published Date : 2017-04-07
Lei Shi Sibai Sun Yuan Xuan Yue Su Hanghang Tong Shuai Ma Yang Chen Influence Graph Initial Tweet Retweeting Graph Retweets Citing papers Source Paper Paper
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TOPIC: TOward Perfect InfluenCe Graph Summarization: Transcript
Lei Shi Sibai Sun Yuan Xuan Yue Su Hanghang Tong Shuai Ma Yang Chen Influence Graph Initial Tweet Retweeting Graph Retweets Citing papers Source Paper Paper Citation Graph. E. asy-to-. U. nderstand English . Sum. maries for . Non-Native Readers. Authors : . Xiaojun. Wan (. 副研究員. ). http://www.icst.pku.edu.cn/intro/content_409.htm. Huiying. Li . Jianguo. Xiao (. Jie Tang. *. , Limin Yao. #. , and Dewei Chen. *. *. Dept. of Computer Science and Technology. Tsinghua University. #. Dept. of Computer Science, University of Massachusetts Amherst. April, 2009. ?. What are the major topics in the returned docs?. By . : . asef. . poormasoomi. Supervisor. : Dr. . Kahani. autumn 2010. Ferdowsi. University of . Mashad. Introduction. summary. : . brief. but . accurate. representation of the . contents. of a document. Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. Overview. Ling573. Systems & Applications. March 31. , 2016. Roadmap. Dimensions . of the problem. Architecture . of a Summarization system. Summarization and resources. Evaluation. Logistics Check-. Reviews & Speech. Ling 573. Systems and Applications. May . 26, 2016. Roadmap. Abstractive summarization example. Using Abstract Meaning Representation. Review . summarization:. Basic approach. Learning what users want. Date. : . 2014/08/11. Author . : . Lidan. . Shou. , . Zhenhua. Wang, . Ke. Chen, Gang Chen. Source. : . SIGIR’13. Advisor: . Jia. -ling . Koh. Speaker. : . Sz-Han,Wang. O. utline. Introduction. Kathleen McKeown. Department of Computer Science. Columbia University. What is Summarization?. Data as input (database, software trace, expert system), text summary as output. Text as input (one or more articles), paragraph summary as output. Access Pipeline Protests (NoDAPL). CS 5984/4984 Big Data Text Summarization Report. . Xiaoyu Chen*, Haitao Wang, Maanav Mehrotra, Naman Chhikara, Di Sun. {xiaoyuch, wanght, maanav, namanchhikara, sdi1995} @vt.edu. Abigail See, Peter J. Liu, Christopher D. Manning. Presented by: Matan . Eyal. Agenda. Introduction. Word Embeddings. RNNs. Sequence-to-Sequence. Attention. Pointer Networks. Coverage Mechanism. Introduction . Document Summarization Abhirut Gupta Mandar Joshi Piyush Dungarwal Motivation The advent of WWW has created a large reservoir of data A short summary, which conveys the essence of the document, helps in finding relevant information quickly Tal . Baumel. , Rafi Cohen, Michael Elhadad. Jan 2014. Generic Summarization. Generic Extractive Multi-doc Summarization:. Given a set of documents Di. Identify a set of sentences . Sj. . s.t.. |. Sj. Perfect Active System for . the . Subjunctive . Mood. The . Perfect Active System . is built on the . perfect active stem. , which is found in the . 3. rd. principal part. of any verb. . . 1. st. Xuliang. Zhu. , Xin Huang, Byron Choi, Jianliang Xu . Hong Kong Baptist University. Hong Kong, China . Outlines. Motivations. Related Work. KDAG-Problem. Algorithms. Experiments. Conclusions. Motivations.
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