Recent Submissions

  • Generating an Intelligent Human-Readable Summary of a Shooting Event from a Large Collection of Webpages 

    Chandrasekaran, Arjun; Sharma, Saurav; Sulucz, Peter; Tran, Jonathan (2014-12)
    We describe our approach to generating summaries of a shooting event from a large collection of webpages. We work with two separate events - a shooting at a school in Newtown, Connecticut and another at a mall in Tucson, ...
  • Computational Linguistics Hurricane Group 

    Crowder, Nicholas; Nguyen, David; Hsu, Andy; Mecklenburg, Will; Morris, Jeff (2014-12)
    The problem-project based learning described in our presentation and report addresses automatic summarization of web content using natural language processing. Initially, we used simple techniques such as word frequencies ...
  • Exploring the Blacksburg Community Events Collection 

    Antol, Stanislaw; Ayoub, Souleiman; Folgar, Carlos; Smith, Steve (2014-12)
    With the advent of new technology, especially the combination of smart phones and widespread Internet access, people are increasingly becoming absorbed in digital worlds – worlds that are not bounded by geography. As such, ...
  • Natural Language Processing: Generating a Summary of Flood Disasters 

    Acanfora, Joseph; Evangelista, Marc; Keimig, David; Su, Myron (2014-12)
    In the event of a natural disaster like a flood, news outlets are in a rush to produce coverage for the general public. People may want a clear, concise summary of the event without having to read through hundreds of ...
  • OutbreakSum: Automatic Summarization of Texts Relating to Disease Outbreaks 

    Gruss, Richard; Morgado, Daniel; Craun, Nate; Shea-Blymyer, Colin (2014-12)
    The goal of the fall 2014 Disease Outbreak Project (OutbreakSum) was to develop software for automatically analyzing and summarizing large collections of texts pertaining to disease outbreaks. Although our code was tested ...
  • Computational Linguistic Analysis of Earthquake Collections 

    Bialousz, Kenneth; Kokal, Kevin; Orleans-Pobee, Kwamina; Wakeley, Chris (2014-12)
    CS4984 is a newly-offered class at Virginia Tech with a unit based, project-problem based learning curriculum. This class style is based on NSF-funded work on curriculum for the field of digital libraries and related topics, ...
  • Summarizing Fire Events with Natural Language Processing 

    Plahn, Jordan; Zamani, Michael; Lee, Hayden; Trujillo, Michael (2014-12)
    Throughout this semester, we were driven by one question: how do we best summarize a fire with articles scraped from the internet? We took a variety of approaches to answer it, incrementally constructing a solution to ...