PPT-Learning-based Entity Resolution

with MapReduce Lars Kolb Hanna Köpcke Andreas Thor Erhard Rahm Database Group Leipzig httpdbsunileipzigde Glasgow CloudDB 2011 Identification of semantically equivalent entities. SA paragpedrodcswashingtonedu Abstract Entity resolution is the problem of determining which records in a database refer to the same entities and is a crucial and expensive step in the data mining process In terest in it has grown rapidly in recent y . Centric. . Coreference Resolution with Model Stacking. Kevin Clark and Christopher D. Manning. (ACL-IJCNLP 2015). (Tables are taken from the above-mentioned paper). Presented by Mamoru Komachi. <komachi@tmu.ac.jp>. Resolution. Seminar by. Satpreet Arora (07D05003). What is . Coreference. ?. In linguistics, . co-reference.  occurs when multiple expressions in a sentence or document refer to the same entity.. 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. Nobal B. Niraula. March 26, 2014. Advisor: Dr. . Vasile. . Rus. Anaphora in Etymology. Ancient Greek : Anaphora = . anajora. (. Anajora. ). ana. (. Ana) . . . back in an upward direction. jora. Nobal B. Niraula. March 26, 2014. Advisor: Dr. . Vasile. . Rus. Anaphora in Etymology. Ancient Greek : Anaphora = . anajora. (. Anajora. ). ana. (. Ana) . . . back in an upward direction. jora. 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. Sam Smith, FSB Secretariat. Meeting of the CEPS Task Force. Brussels,11 December 2015. TLAC: overview and objectives. Calibration . set at. . 16% RWA and 6% LR from 1 January 2019, 18% RWA and 6.75% LR from 1 January 2022. Resolution. Yasser Altowim. , Dmitri Kalashnikov, . Sharad. . Mehrotra. Data Processing Flow. Analysis. Decision. Data. Quality. of Analysis. Quality. of Decision. Quality. of Data. Data Quality Challenges. TOOLS. 1. Xiao Liu, Shuo Yu, and Hsinchun Chen. Spring 2019. Introduction. Text mining, also referred to as text data mining, refers to the process of deriving high quality information from text. . Text mining is an interdisciplinary field that draws on . DatasetNovels in the Dutch National Bibliography:164.394Bibliographic records104.235 Works113.227Expressions163.234Manifestations192.610ItemsNext stepsPublishing Workentities of novels as LODConversio 5+6. . Relation extraction. Simon Razniewski. Summer term 2022. Start of 6. th. lecture. 2. 3. 4. Outline. Fixed-target relation extraction. Task. . Manual patterns. Supervised learning. Learning at scale. Pankaj. . Vanwari. . Under guidance of . Dr. S. . Sudarshan. . Overview of Presentation. Introduction to Entity Queries. Keyword search on structured data. Querying over unstructured data. Entity queries using ontology based extraction. Queries . Using . an . Extended . Graph Model. Ankur. . Agrawal. . S. Sudarshan . Ajitav. . Sahoo. . Adil. . Sandalwala. . Prashant. . Jaiswal. . IIT . Bombay. History of Keyword Queries.