PPT-A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Author : min-jolicoeur | Published Date : 2018-12-24
1 WanTing Hsu National Tsing Hua University Chieh Kai Lin National Tsing Hua University Project page Outline Motivation Our Method Training Procedures Experiments
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A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss: Transcript
1 WanTing Hsu National Tsing Hua University Chieh Kai Lin National Tsing Hua University Project page Outline Motivation Our Method Training Procedures Experiments and Results Conclusion. (published at ESEC/FSE’09). Yingfei Xiong. Ph.D., University of Tokyo. Will be a postdoc@Univ. Waterloo since Dec. Joint work with. Zhenjiang Hu, Haiyan Zhao, Hui Song, . Masato Takeichi, and Hong Mei. generic issues and Kent-specific procedures. Jude Carroll for . The University of Kent, January 2013. A quick intro activity. Into 2’s. Look at the cases before you.. Look at the levels of severity. Bo Wang. 1. , . Yingfei. Xiong. 2. , Zhenjiang Hu. 3. , . Haiyan. Zhao. 1. , . Wei Zhang. 1. , Hong Mei. 1. 1. Institute of Software, Peking University (China). 2. . Generative Software Development Laboratory,. Jae-Young Yu. Kangwon National University. Introduction. ROK has the 15. th. largest economy in the world. GDP: 29. th. in 1960 . 15. th. in 2013. Average of 10% annual growth from 1962 to 1994 . 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. 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. Yingfei . Xiong. University of Tokyo, Japan. Zhenjiang Hu. National Institute of Informatics, Japa. n. Haiyan. Zhao. Peking University,. China. Hui. Song. Peking University,. China. Masato Takeichi. (Combined Method). 1. Tatsuro. . Oya. Extractive Summarization DA Recognition. . Locate . important sentences . in email and model . dialogue . acts . simultaneously. .. 2. Outline. Introduction. UK . Stata. users’ Group. London, 13. th. September 2013. Ian . White. MRC Biostatistics Unit, Cambridge, UK. Plan. Ordinary (. pairwise. ) meta-analysis. Multiple treatments: indirect comparisons, consistency, inconsistency. 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. 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. www.undp.org/ extractive industries United Nations Development Programme One United Nations Plaza ∙ New York, NY 10017 USA January 2014 DEVELOPMENT AND EXTRACTIVE INDUSTRIE S Development of extract
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