PPT-Semantic Search
Author : aaron | Published Date : 2017-06-13
Tutorial Introduction Miriam Fernandez KMI Open University UK Thanh Tran Institute AIFB KIT DE Peter Mika Yahoo Research Spain Search Document Retrieval vs Data
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Semantic Search: Transcript
Tutorial Introduction Miriam Fernandez KMI Open University UK Thanh Tran Institute AIFB KIT DE Peter Mika Yahoo Research Spain Search Document Retrieval vs Data Retrieval Differences of search technologies. 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. Semantic networks - history. Network notations are almost as old as logic. Porphyry (3rd century AD) – tree-based hierarchies to describe Aristotle’s categories. Frege (1879) - concept writing, a tree notation for the first complete version of first-order logic . . Multi-label Protein Subcellular Localization. Shibiao WAN and Man-Wai MAK. The Hong Kong Polytechnic University. Sun-Yuan KUNG. Princeton University. Outline. Introduction and Motivation. Retrieval of GO Terms. Prof. O. . Nierstrasz. Thanks to Jens . Palsberg. and Tony Hosking for their kind permission to reuse and adapt the CS132 and CS502 lecture notes.. http://www.cs.ucla.edu/~palsberg/. http://www.cs.purdue.edu/homes/hosking/. -concepts and facts. -several similar models describe . the organization . of semantic . memory. 1) Collins & . Quillian’s. Hierarchical Network Model. -nodes to represent individual items, ideas, organized hierarchically. Verbs of Falling and Beyond. Katia. . Rakhilina. (NRU HSE, Moscow). “. Verbs, verb phrases and verbal categories”. 23-25 March. Hebrew University of Jerusalem. BEYOND:. Lexical Typology. Main objectives. Katrin Erk. University of Texas at . Austin. Meaning in Context Symposium. München. September 2015. Joint work with Gemma . Boleda. Semantic features by example: . Katz & Fodor. Different meanings of a word characterized by lists of semantic features. Analysis. . for Lexical Semantics . and . Knowledge Base Embedding. UIUC 2014 . Scott Wen-tau . Yih. Joint work with. Kai-Wei . Chang, Bishan Yang, . Chris Meek, Geoff Zweig, John Platt. Microsoft Research. 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. . Dominic Oldman. Peter . Haase. Creating the Cultural Heritage Knowledge Graph. ResearchSpace. Project. Goals and context. ResearchSpace. Platform. m. etaphacts. Knowledge Graph Platform. Brief demo. 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. Opportunities. April 2015. Search – . Where we were!. https://pbs.twimg.com/media/B1sh79LIEAAR4Hg.jpg:large. https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ5sTW2_hPnqpRVmpHW2L4FFJ9SPuDaNF8TCTvH7xqUNXeo8Cqj-A. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts. 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 .
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