PPT-A Compositional and Interpretable Semantic Space

Alona Fyshe Leila Wehbe Partha Talukdar Brian Murphy and Tom Mitchell Carnegie Mellon University amfyshegmailcom 1 2 pear l ettuce orange apple carrots VSMs and Composition. Semantic preservation by compilers for higherorder languages can be veried using simple syntactic methods At the heart of classic techniques are relations between sourcelevel and targetlevel values Un fortunately these relations are specic to partic cmuedu Abstract In this paper we introduce an application of matrix factorization to produce corpusderived distribu tional models of semantics that demonstrate cognitive plausibility We 64257nd that word representations learned by NonNegative Sparse Unleashing the Power of Alternation. Patrice Godefroid, Aditya V. Nori, Sriram K. Rajamani. Microsoft Research. Sai Deep Tetali. UC Los Angeles. Property checking. void f(). {. 0:. *p = 4;. 1:. *q . Componen. t-. Based Information Systems. Jan Martijn van der Werf. Organizations cooperate. Bob. Charley. Alice. “Who-knows-who” not transitive!. Dave. Organizations deliver services. Bob. Charley. Xun. . Xu. Timothy. . Hospedales. Shaogang. Gong. Authors:. Computer Vision Group. Queen Mary University of London. Action Recognition. Ever Increasing #Categories. KTH 6 Classes. Weizmann 9 Classes. . P . L . Chandrika. . . Advisors: Dr.. . C. V. Jawahar . . . Centre for Visual Information Technology, IIIT- Hyderabad. Problem Setting . Metcalfe’s Law paper. What . is . metcalfe’s. Law? Examples from the Web? How can we utilize it?. How semantics contribute to social networks, folksonomy. Content creation is not enough, creating links is critical. Nikhil . Rasiwasia. , . Nuno. . Vasconcelos. Statistical Visual Computing Laboratory. University of California, San Diego. Thesis Defense. Ill pause for a few moments so that you all can finish reading this. . 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. Lioma. Lecture . 18: Latent Semantic Indexing. 1. Overview. Latent semantic indexing . Dimensionality reduction. LSI in information retrieval. 2. Outline. Latent semantic indexing . Dimensionality reduction. Introduction. Jeff Heflin. Lehigh University. The Semantic Web. “Semantic” “Web”. Semantic: "of or relating to meaning in language" (Def. Webster’s). Web: The World Wide Web. Official Definition. the brain. Włodzisław Duch. Neurocognitive Laboratory. , . Center of Modern Interdisciplinary Technologies, NCU. Dept. of Informatics, Faculty of Physics, Astronomy & Informatics, NCU. Google: W. Duch. Xiangen . Hu. CCNU & . UoM. Agenda. Introduction. Basic semantic comparison techniques. Examples . of semantic spaces. A general framework. A few . applications. Hands-. on . （. if time permits). Semantic Rule I if themeaning of NP an individual is a member of the meaning of the VP a set of individuals thenS is TRUE otherwise it is FALSE--9--J-7E---F5/L--CI-0-B5-H---E/---9- sentenceColorless g