PPT-Thumbnail Summarization Techniques For Web Archives

Ahmed AlSum Stanford University Libraries Stanford CA USA aalsumstanfordedu 1 M ichael L Nelson Old Dominion University Norfolk VA USA mlncsoduedu The 36th European Conference on Information Retrieval. 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 (. Objective: You will define and create thumbnail sketches in order to brainstorm ideas for your animal mandala.. DRILL. : (Page layout . ). Title page- . Thumbnail Sketches. Definition/ why?-. Examples from . through . Voronoi. diagrams. Paolo . Brivio. , Marco . Tarini. , Paolo . Cignoni. Fairly large datasets (i.e. 1000s images). cannot be all visible at the same time. Non-uniform image aspect ratio. landscape . Lei Shi, Sibai Sun, . Yuan Xuan. , Yue Su, . Hanghang . Tong, Shuai Ma, Yang . Chen. Influence Graph. Initial. Tweet. Re-tweeting Graph. Re-tweets. Citing papers. Source. Paper. Paper Citation Graph. 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. April Miller, Program Lead – WBG Archives. ACRL Pre-conference. Washington, DC. March 22, 2017. The World Bank. Established . July . 1944 to rebuild Europe after World War II . Owned . by 187 member countries. through . Voronoi. diagrams. Paolo . Brivio. , Marco . Tarini. , Paolo . Cignoni. Fairly large datasets (i.e. 1000s images). cannot be all visible at the same time. Non-uniform image aspect ratio. landscape . 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. 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 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.