PPT-Query Chain Focused Summarization

Tal Baumel Rafi Cohen Michael Elhadad Jan 2014 Generic Summarization Generic Extractive Multidoc Summarization Given a set of documents Di Identify a set of sentences Sj st Sj. 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 (. 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. (Combined Method). 1. Tatsuro. . Oya. Extractive Summarization DA Recognition. . Locate . important sentences . in email and model . dialogue . acts . simultaneously. .. 2. Outline. Introduction. Julia Freeman and Souleiman Ayoub. Overview. Customizing a filled out template provided by Fusion. . Summarize news articles with attributes that are extracted. Named entities especially for organizations and persons. 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. 1. Wan-Ting Hsu. National Tsing Hua University. Chieh. -Kai Lin. National Tsing Hua University. Project page. Outline. Motivation. Our Method. Training Procedures. Experiments and Results. Conclusion. 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. 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 Ameet. Deshpande. March 24, 2020. TASK. Text Summarization is the reduction of data to a (minimal) subset which represents the original data. Two types of Summarization techniques. Extractive Summarization. (Combined Method). 1. Tatsuro. . Oya. Extractive Summarization + DA Recognition. . Locate . important sentences . in email and model . dialogue . acts . simultaneously. .. 2. Outline. Introduction. Reddit. Posts. with Multi-level Memory Networks. . [. NAACL . 2019]. Group Presentation. WANG, Yue. 04/15/2019. Outline. Background. Dataset. Method. Experiment. Conclusion. 2. /16. Background. Challenge:. Big Graphs. Arijit Khan. Nanyang Technological University, Singapore. Sourav S. Bhowmick. Nanyang Technological University, Singapore. Francesco Bonchi. ISI Foundation, Italy. Google: > 1 trillion indexed pages. 1-. Measurements of central tendency. . (average measurements). 2-. Measurments of variability. (dispersion measurements). Measures of Central Tendency. What is central tendency?. The “middle” / “center” of a variable’s distribution..