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  • DBSim: Extensible Database Simulator for Fast Prototyping In-Database Algorithms

    Yifan Wang February 20, 2023     Comment Closed     Uncategorized

    by Yifan Wang Many data scientists and analysts have to spend a large portion of time in a routine loop: exporting data from database, processing/analyzing the data using external data science tools, and re-importing the data back to database. To solve this problem and save users’ time, in-database analytics is emerging in recent years, which

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  • DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries

    Jayetri Bardhan February 20, 2023     Comment Closed     Uncategorized

    by Jayetri Bardhan Introduction Electronic Health Records (EHRs) are digitized records of patients’ medical information containing details about their demographics, diagnoses, medication, symptoms, laboratory results, and immunization records. EHRs help doctors in making better clinical decisions and aid patients to obtain answers to patient-specific questions.  EHRs may be in the form of structured or unstructured

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  • Taming The Data Monster To Make Better Decisions

    Daisy Zhe Wang August 17, 2018     Comment Closed     Uncategorized

    [Source: News from The Herbert Wertheim College of Engineering] In today’s increasingly connected world, the sheer volume of messages we receive on any subject, including speech, images, video and metadata, as well as text imbedded in images and videos, is mind-boggling. When something unexpected happens, government policy analysts need to inform and advise our nation’s

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  • Interactive Inference for Information Extraction

    March 14, 2017     Comment Closed     Uncategorized

    Introduction In order to keep up with the enormous pace of data being produced on the web, we need automatic methods for converting it into a more structured form for analyzing and querying. For text data this amounts to generating labels which describe the underlying semantic concept and is known as Information Extraction (IE). Examples

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  • SigmaKB VLDB16 Demo System and TAC KBP Slot Filling Validation 2016

    December 20, 2016     Comment Closed     Uncategorized

    Miguel Rodriguez The amount of information available on the web has motivated a number of efforts in creating large-scale knowledge bases (KBs), each with their own methods of automatically extracting relevant information from unstructured text. Despite sharing the same data model, each project is unique, displaying their own strengths and weaknesses related to the size

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  • Streaming Fact Extraction for Wikipedia Entities at Web-Scale

    May 12, 2014     No Comment     Uncategorized

    Morteza Shahriari Nia, Christan Grant, Yang Peng Wikipedia.org (WP) is the largest and most popular general reference work on the Internet. Presently, there is considerable time lag between the publication of an event and its citation in WP. The median time lag for a sample of about 60K web pages cited by WP articles in

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Recent Posts

  • DBSim: Extensible Database Simulator for Fast Prototyping In-Database Algorithms
  • DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
  • A Brief Overview of Weak Supervision
  • DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
  • IDTrees Data Science Challenge: 2017

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Recent Posts

  • DBSim: Extensible Database Simulator for Fast Prototyping In-Database Algorithms
  • DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
  • A Brief Overview of Weak Supervision
  • DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
  • IDTrees Data Science Challenge: 2017