PPT-Text Processing Information Retrieval in Practice

All slides Addison Wesley 2008 TexPoint fonts used in EMF Read the TexPoint manual before you delete this box A A Processing Text Converting documents to index terms Why Matching the exact string of characters typed by the user is too restrictive. Module 20. What is Memory?. Process of . encoding, storage, and retrieval.. Learning that persists over time.. Encoding. Get info in. Storage. Retain the info. Retrieval. Getting the information out. Outline:. The nature of the information-processing approach. Attention. Memory. Expertise. Metacognition. 1. The nature of the information-processing approach. Information, memory, and thinking. Cognitive resources: capacity and speed of processing information. Milton J. Dehn, Ed.D. ., NCSP. Schoolhouse Educational Services. Fall, 2012. Notice of Copyright, . 2012. This . PowerPoint . and accompanying materials are copyrighted by Milton J. Dehn and Schoolhouse Educational Services, LLC. All rights reserved. No photocopying, electronic display, or electronic dissemination of these materials is allowed without written permission. Introduction. Ling 573. NLP Systems and Applications. March 29, 2011. Roadmap. Motivation. 573 Structure. Question-Answering. Shared Tasks. Motivation. Information retrieval is very powerful. Search engines index and search enormous doc sets. CSC . 575. Intelligent Information Retrieval. 2. Source: . Intel. How much information?. Google: . ~100 . PB a . day; 3+ million servers (15 . Exabytes. stored). Wayback Machine has . ~9 . PB + . 100 . Memory. Information Processing. Module 22. Module Overview. Encoding. Storage. Retrieval. Click on the any of the above hyperlinks to go to that section in the presentation.. Encoding. Module 22: Information Processing. . lecture 2. history. Thomas . Krichel. 2011-09-19 . contents . based on a very fine paper by Michael Lesk “The Seven Ages of Information Retrieval”. . That paper was written in 1997, so it does not cover recent advances.. Information. Miles Efron, Jana . Diesner. , Peter . Organisciak. , Garrick Sherman, Ana . Lucic. {. mefron. , et al.}@. illinois.edu. GSLIS 2012. TREC: The Text REtrieval Conference. NIST. Web. Legal. Information Retrieval. Information Retrieval. Konsep. . dasar. . dari. IR . adalah. . pengukuran. . kesamaan. sebuah. . perbandingan. . antara. . dua. . dokumen. , . mengukur. . sebearapa. . Hongning. Wang. CS@UVa. Recap: Core IR concepts. Information need. “. an individual or group's desire to locate and obtain information to satisfy a conscious or unconscious need. ” – wiki. An IR system is to satisfy users’ information need. All slides ©Addison Wesley, 2008. How Much Data is Created Every . Minute?. Source: . https. ://www.domo.com/blog/2012/06/how-much-data-is-created-every-minute/. The Search Problem. Search and Information Retrieval. Hongning. Wang. CS@UVa. CS@UVa. CS6501: Information Retrieval. 1. Abstraction of search engine architecture. User. Ranker. Indexer. Doc Analyzer. Index. results. Crawler. Doc . Representation . Query Rep. Fatemeh. Azimzadeh. Books. (Manning et al., 2008). Christopher D. Manning, . Prabhakar. . Raghavan. , and . Hinrich. . Schütze. . Introduction to Information Retrieval. Cambridge University Press, 2008. . Cal Poly Pomona. Today. Who I am. CS 599 educational objectives (and why). Overview of the course, and logistics. Quick overview of IR and why we study it. 2. Who am I?. Instructor : . Sampath . Jayarathna.