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Home › Latent Dirichlet Allocation
  • SMART Electronic Discovery: System Evaluation

    December 27, 2015     Comment Closed     research directions

    Clint P. George This is an extension to our earlier post, SMART Electronic Discovery (SMARTeR), which describes a framework for electronic discovery (e-discovery). Discovery is a pre-trial procedure in a lawsuit or legal investigation in which each party can obtain evidence from other parties (typically via a request for production) according to the laws of civil procedure in the

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  • SMART Electronic Discovery

    March 14, 2014     No Comment     publications, research directions

    Clint P. George Our recent work on Electronic Discovery (E-Discovery) evolved a novel E-Discovery retrieval model – SMARTeR, which employ the state-of-the-art document modeling algorithms for relevance ranking, classification, and prioritizing the review process – based on the traditional Computer Assisted Review (CAR) process (See Background). A critical task associated with the categorization of documents

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  • SMARTeR : Topic Modeling, Exploration, Entity Extraction, and Applications

    September 6, 2013     Comment Closed    

    SMARTeR : Topic Modeling, Exploration, Entity Extraction, and Applications   Electronic legal discovery (e-discovery) is the process of collecting, reviewing, and producing electronically stored information (ESI), i.e., documents either in native format (e.g., emails, attachments, social media messages, etc.) or after conversion into PDF or TIFF form, to determine its relevance to a request for production. We

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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