PPT-Configuring Named Entity Extraction through

Author : faustina-dinatale | Published Date : 2017-04-20

RealTime Exploitation of Linked Data University of Crete Computer Science Department Greece Foundation for Research and Technology Hellas FORTH Institute of Computer

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Configuring Named Entity Extraction through: Transcript

RealTime Exploitation of Linked Data University of Crete Computer Science Department Greece Foundation for Research and Technology Hellas FORTH Institute of Computer Science ICS Information Systems Laboratory ISL. for . Metadata Cleanup. Danielle Cunniff Plumer. dcplumer. associates. danielle@dcplumer.com. . OpenRefine. (. Formerly Google . Refine). http://openrefine.org/. Features. Java application; runs on Windows, Mac, Linux. Sources. :. Sarawagi. , S. (2008). Information extraction. Foundations and Trends in Databases, 1(3), 261–377. . Hobbs, J. R., & . Riloff. , E. (2010). Information extraction. . Handbook. of Natural . 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. WITH . RANDOM FORESTS AND. BAYESIAN OPTIMIZATION. Presenters: . Arni. , . Sanjana. Named Entity Recognition. Subtask of Information Extraction. Identify known entity names – person, places, organization etc. Preeti Bhargava, . Nemanja. . Spasojevic, . Guoning. Hu. Applied Data Science, Lithium Technologies. Email: . team-relevance@klout.com. Problem. Applications. Tweets & other user generated text. Jiafeng Guo. 1. , . Gu. Xu. 2. , . Xueqi. Cheng. 1. ,Hang Li. 2. 1. Institute of Computing Technology, CAS, China. 2. Microsoft Research Asia, China. Outline. Problem Definition. Potential Applications. Tim Teaching. Information Extraction. Information extraction (IE) systems. Menemukan. . dan. . memahami. . bagian. . tertentu. yang . relevan. . dalam. . teks. yang . tidak. . terstruktur. Mengumpulkan. Introducing the tasks:. Getting simple structured information out of text. Information Extraction. Information extraction . (IE) systems. Find and understand limited relevant parts of . texts. Gather information from many pieces of text. Tim Teaching. Information Extraction. Information extraction (IE) systems. Menemukan. . dan. . memahami. . bagian. . tertentu. yang . relevan. . dalam. . teks. yang . tidak. . terstruktur. Mengumpulkan. Online Social Network. Online Social Network sites such as Facebook and Twitter are widely used nowadays.. The number of tweets posted daily has recently exceeded two-hundred million. . Research On Twitter Event. CIS, LMU . München. Winter Semester . 2015-2016. . Dr. Alexander Fraser, CIS. Administravia. Suggested Klausur date is in the last week of the Vorlesung (the week before Fasching). Klausur: February . Presenter : . Shu-Ya. Li. Authors : . Venkatesh. . Ganti. , . Arnd. Christian . König. , . Rares. . Vernica. KDD, . 2008 . 2. Outline. Motivation. Objective. Methodology. Experiments and Results. Heng. . Ji (UIUC. ). 1. What are “entities”?. [Main meaning]. - unique world bodies with (non-unique) names, such as. people, organizations, locations. e.g. . Washington County. [Extended meaning – information extraction]. Alan Ritter. Mausam. , Oren . Etzioni. , Sam Clark. University of Washington. Goal:. . Realtime. Stream of Structured Information About Events. TIME. Q: which set of events do we want to know about?.

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