PPT-Multi-Relational Latent Semantic

Analysis KaiWei Chang Joint work with Scott Wentau Yih Chris Meek Microsoft Research Natural Language Understanding Build an intelligent system that can interact with human using natural language. Daniel . Oberski. Dept. of Methodology & Statistics . Tilburg University, The Netherlands. (with material from Margot . Sijssens-Bennink. & . Jeroen. . Vermunt. ). About Tilburg University Methodology & Statistics. Sarah Riahi and Oliver Schulte. School . of Computing Science. Simon Fraser University. Vancouver, Canada. With tools that you probably have around the . house. lab.. A simple method for multi-relational outlier detection. Nothing is so practical as a good theory. Kurt Lewin, 1945. The relational model. Overcame shortcomings of earlier database models. Has a strong theoretical base. Codd was the major developer. Problems with other models. Naman Agarwal. Michael Nute. May 1, 2013. Latent Variables. Contents. Definition & Example of Latent Variables. EM Algorithm Refresher. Structured SVM with Latent Variables. Learning under semi-supervision or indirect supervision. . P . L . Chandrika. . . Advisors: Dr.. . C. V. Jawahar . . . Centre for Visual Information Technology, IIIT- Hyderabad. Problem Setting . Heat a boiling tube of wax to a high temperature and as it cools note the . temperature every minute.. Plot a graph of temperature against time.. Results. Time . (min). 1. 2. 3. 4. 5. 6. 7. 8. 9. Temp. Analysis. . for Lexical Semantics . and . Knowledge Base Embedding. UIUC 2014 . Scott Wen-tau . Yih. Joint work with. Kai-Wei . Chang, Bishan Yang, . Chris Meek, Geoff Zweig, John Platt. Microsoft Research. A Practically Fast Solution for . an . NP-hard Problem. Xu. Sun (. 孫 栩. ). University of Tokyo. 2010.06.16. Latent dynamics workshop 2010. Outline. Introduction. Related Work & Motivations. Our proposals. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Movement led by W3C that promotes common formats for data on the web. Describes things in a way that computer applications can understand it. Describes the relationship between things and properties of things. Analysis. . . Kai-Wei Chang. Joint work with. . Scott Wen-tau . Yih, Chris Meek. Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language. Prof. Dr. Ralf Möller. Universität zu Lübeck. Institut für Informationssysteme. Tanya Braun (Übungen). Acknowledgements. Slides by: Scott . Wen-tau . Yih. Describing joint work of Scott Wen-tau . Denis Krompaß. 1. , Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. . Department of Computer Science. Ludwig Maximilian University, . 2. MIT, Cambridge and . Istituto. . Italiano. . di. . Tecnologia.