PPT-1 Vector Space Model for IR:

Implementation Notes CSC 575 Intelligent Information Retrieval These notes are based in part on notes by Dr Raymond J Mooney at the University of Texas at Austin 2 Implementation Issues for Ranking System. Scott Wen-tau Yih . (Microsoft Research). Joint work with. . Vahed Qazvinian . (University of . Michigan). Measuring Semantic Word Relatedness. How related are words “movie” and “popcorn”?. Socher. , Bauer, Manning, NG 2013. Problem. How can we parse a sentence and create a dense representation of it? . N-grams have obvious . problems, most important is . sparsity. Can we resolve syntactic ambiguity with context? “They ate . Corpora and Statistical Methods. Lecture 6. Semantic similarity. Part 1. Synonymy. Different phonological. /orthographic. words. highly related meanings. :. sofa / couch. boy / lad. Traditional definition:. Manaal Faruqui. Sujay. . Jauhar. , Jesse Dodge. Chris Dyer, Noah Smith. Distributional Semantics. “You shall know a word by the company it keeps”. (Harris 1954; Firth, 1957). …I will take what is mine with . Machines. Reading: . Ben-. Hur. and Weston, “A User’s Guide to Support Vector Machines”. . (linked from class web page). Notation. Assume a binary classification problem.. Instances are represented by vector . (VSM). doc1. | . Documents as . Vectors. . Terms are axes of the space. Documents are points or vectors . . in this space. So we have a |V|-dimensional vector space. | . The Matrix. Doc 1 : makan makan. 2. COMP 740:. Computer Architecture and Implementation. Montek Singh. Nov 16, 2016. Topic: . Vector Processing. . 3. Traditional Supercomputer Applications. Typical application areas. Military research (nuclear weapons, cryptography). 2014: Anders Melen. 2015: Rachel Temple. The Nature of Statistical Learning Theory by V. Vapnik. 1. Table of Contents. Empirical Data Modeling. What is Statistical Learning Theory. Model of Supervised Learning. Lexical Semantics. 2. Information Retrieval System. IR. System. Query String. Document. corpus. Ranked. Documents. 1. Doc1. 2. Doc2. 3. Doc3. .. .. The Vector-Space Model. Graphic Representation. INTRODUCTION. An approach for classification that was developed in the computer science community in the 1990s.. Generalization of a classifier called the Maximal Margin Classifier.. HYPERPLANE. In a . . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Asa. . Ben-. Hur. , . David . Horn, . Hava. T. . Siegelmann. , . Vladimir Vapnik. Zhuo Liu. Clustering. G. rouping . a set of objects . which . are . similar. Similarity: distance, density, statistical distribution. . H. HABEEB RANI. Assistant professor of Mathematics. Department of mathematics. Hajee. . Karutha. . Rowther. . Howdia. College. VECTOR SPACES. Definition. Examples. THEOREM. Subspaces. Mechanical and biological vectors. A vector is an animal that carries a disease from host to host .. . Mechanical vectors. An animals that carries a pathogen from host to host without being infected itself is a mechanical vector ..