PPT-D 3 : Passage Retrieval

Author : briana-ranney | Published Date : 2017-09-08

Group 3 Chad Mills Esad Suskic Wee Teck Tan Outline System and Data Document Retrieval Passage Retrieval Results Conclusion System and Data Development Testing TREC

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D 3 : Passage Retrieval: Transcript

Group 3 Chad Mills Esad Suskic Wee Teck Tan Outline System and Data Document Retrieval Passage Retrieval Results Conclusion System and Data Development Testing TREC 2004 TREC 2004 TREC 2005. Julia Hirschberg. CS 4705. Today. Information Retrieval. Review of Methods. TREC IR Tracks. Question Answering. Factoid Q/A. A Sample System: UT Dallas (Harabagiu). A simpler alternative from MSR. Information Retrieval. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Retrieval Models. Model is an idealization or abstraction of an actual process. in this case, process is matching of documents with queries, i.e., retrieval. . Abdullah . Alotayq. , Dong Wang, Ed Pham. A Basic Q/A System:. Passage Retrieval. Outline. Query Expansion. Document Ranking. Passage Retrieval. Passage Re-ranking . Query Expansion. Two different methods:. Pattern Completion and Recapitulation. Episodic Retrieval and the Frontal Lobes. Cues for Retrieval. The Second Time Around: Recognizing Stimuli by Recollection and Familiarity. Misremembering the Past. . ceremonies that mark a person’s progress from one phase of life to another.. Rituals. :. ceremonial acts prescribed by tradition or religion that set humans apart from other species. . . Rites of Passage. Hui Fang , Tao . Tao. , . ChengXiang. . Zhai. University of Illinois at Urbana Champaign. SIGIR 2004 Best Paper. Presented by Lingjie Zhang. Outline. Formal Definitions of Heuristic Retrieval Constraints. 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 . Date :. . 2012 . / . 04. . / . 12. 資訊碩一 . 10077034. 蔡勇儀 . @. . LAB603 . Outline. Introduction. Preliminaries. Method. Experimental result. Conclusions. Introduction. Image retrieval have more challenge than text retrieval.. INST 734. Doug . Oard. Module 13. Agenda. Image retrieval. Video retrieval. Multimedia retrieval. Multimedia. A set of time-synchronized modalities. Video. Images, object motion, camera motion, scenes. 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. (for MODIS). Andy Harris. Jonathan . Mittaz. Prabhat. . Koner. (Chris Merchant, Pierre . LeBorgne. ). Satellite data – pros and cons. Main advantages of satellite data. Frequent and regular global coverage (cloud cover permitting for IR). ChengXiang. (“Cheng”) . . Zhai. Department of Computer Science. University of Illinois at Urbana-Champaign. http://www.cs.uiuc.edu/homes/czhai. . Email: czhai@illinois.edu. 1. Yahoo!-DAIS Seminar, UIUC. Hongning. Wang. CS@UVa. What is information retrieval?. CS6501: Information Retrieval. CS@UVa. 2. Why information retrieval . Information overload. “. It refers to the . difficulty. a person can have understanding an issue and making decisions that can be caused by the presence of . BY. DR. ADNAN ABID. Lecture # . Introduction. Library Management System. Structured Data Storage / Tables. Semi-Structured and Unstructured . Employee Department Salary. Library Digitization. Information Retrieval Models.

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