PPT-High-Throughput and Language-Agnostic Entity Disambiguation

Preeti Bhargava Nemanja Spasojevic Guoning Hu Applied Data Science Lithium Technologies Email teamrelevancekloutcom Problem Applications Tweets amp other user generated text. Chang and Xiaoyan Zhu Tsinghua University Email zhengzc04gmailcom zxydcstsinghuaeducn Google Inc Email sxclifangtaoedchang googlecom Abstract Entity disambiguation with a knowledge base becomes increasingly popular in the NLP community In this paper - Presented by Avinash S Bharadwaj (1000663882) . Abstract. The aim of the paper. Annotation of open domain unstructured web text with uniquely identified entities in a social media like Wikipedia.. microlens. array. Antony Orth and Kenneth . Crozier. 8 . May. CLEO . 2012. Microscopy with lens arrays. What is high . thoughput. microscopy?. Experimental setup – . confocal. system. Lens array characteristics, resolution. I. mproving . E. ntity . D. isambiguation via . U. ser . modelling. Romil Bansal, Sandeep . Panem. , . manish. . gupta. , . vasudeva. . Varma. International Institute of information technology, . hyderabad. Microposts. . Romil. Bansal, Sandeep . Panem. , . Priya. . Radhakrishnan, Manish . Gupta, . Vasudeva. . Varma. International Institute of information technology, Hyderabad. 7. th. April 2014. gmanish@microsoft.com. Martin . Ja. čala and . Jozef Tvarožek. Špindlerův. . Mlýn. , Czech Republic. January 23, 2012. Slovak University of Technology. Bratislava, Slovakia. Problem. Given an input text, detect and decide on correct meaning of named entites. and limitations we do agnostic learning consider several overly ambitious model based Also relevant Kearns and typically on as {0, 1}. A research described closely related to which can we motivate bet Дмитрий . Брюхов. , . к.т.н., . с.н.с. . . Институт Проблем Информатики . РАН. Content. Motivation. Applications. Information Extraction Steps. Source Selection and Preparation. Drishti. . Wali. (13266). Nirbhay. . Modhe. (13444). Word Sense Disambiguation . The task of automatically assigning a sense to an . ambiguous word according . to the context in which it is present.. Max Planck Institute . for. . Informatics. . & Saarland . University. http://www.mpi-inf.mpg.de/~weikum/. Semantic. . Search. :. from. . Names. . and. . Phrases. to. . Entities. . and. . Kunho Kim. Why We Need Entity Resolution?. Why We Need Entity Resolution?. Why We Need Entity Resolution?. Why We Need Entity Resolution?. Why We Need Entity Resolution?. Entity Resolution (ER). Problem of identifying, matching, and grouping same name entities from a single collection or multiple ones in data. Understanding New Tools from Federal Chemical Testing Programs . Linda Birnbaum. , Ph.D., D.A.B.T., A.T.S.. Director, National Institute of Environmental Health Sciences and National Toxicology Program. A CERN . openlab. / Intel collaboration. Niko Neufeld, CERN/PH-Department. niko.neufeld@cern.ch. HTCC in a nutshell. Apply upcoming Intel technologies in an Online / Trigger & DAQ context. Application domains: L1-trigger, data acquisition and event-building, accelerator-assisted processing for high-level trigger. Frontend. Dan Bradley. Center for High Throughput Computing. Condor Flocking. CHTC. Condor. Pool. CS. Nuclear Eng.. Genomics. CMS Tier 2. Atlas Tier 3. Chemical Engineering. IceCube. Medical. Physics.