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. http://www.kitelife.com/archive http://www.kitelife.com/archives/JUNE1998/doin'it.htm http://www.kitelife.com/archives/0798/doin'it.htm http://www.kitelife.com/archives/SEPT98/doin'it.htm http://www.k 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 . Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. 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. 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 . (Combined Method). 1. Tatsuro. . Oya. Extractive Summarization DA Recognition. . Locate . important sentences . in email and model . dialogue . acts . simultaneously. .. 2. Outline. 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. 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. 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. Kathleen McKeown. Department of Computer Science. Columbia University. Today. HW3 assigned. Summarization (switch in order of topics). WEKA tutorial (for HW3). Midterms back. What is Summarization?. Data as input (database, software trace, expert system), text summary as output. (Combined Method). 1. Tatsuro. . Oya. Extractive Summarization + DA Recognition. . Locate . important sentences . in email and model . dialogue . acts . simultaneously. .. 2. Outline. Introduction.