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. Clustering. Rajhans . Samdani. ,. . Kai-Wei . Chang. , . Dan . Roth. Department . of Computer Science. University of Illinois at Urbana-. Champaign. Coreference resolution: cluster denotative noun phrases (. 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. Peter Congdon, Queen Mary University of London, School of Geography & Life Sciences Institute. Outline. Background. Bayesian approaches: advantages/cautions. Bayesian Computing, Illustrative . BUGS model, Normal Linear . . P . L . Chandrika. . . Advisors: Dr.. . C. V. Jawahar . . . Centre for Visual Information Technology, IIIT- Hyderabad. Problem Setting . Part II: Definition and Properties. Nevin. L. Zhang. Dept. of Computer Science & Engineering. The Hong Kong Univ. of Sci. & Tech.. http://www.cse.ust.hk/~lzhang. AAAI 2014 Tutorial. Part II: Concept . 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. Child maltreatment through the lens of neuroscience. Friday 2. nd. December 2016. Eamon McCrory PhD . DClinPsy. Director of Postgraduate Studies, Anna Freud National Centre for Children and Families. These areas have extra notes to help you.. Make notes as we go along, always including these post-its. Notes. Objectives. Objectives. BRONZE. To define ‘latent heat’. SILVER. To be able to measure latent heat. 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. Introduction. Semantic Role Labeling. Agent. Theme. Predicate. Location. Can we figure out that these have the same meaning?. XYZ . corporation . bought. the . stock.. They . sold. the stock to XYZ . Section 1. Tutorial on Learning Bayesian Networks for Relational Data. Overview. What are relational data?. Different notations/representations.. Logic. Tables. Graph. RDF. Matrix/Tensor. Common core: . 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.