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Extracting Meaning from Millions of Pages

• lazyjeff 15y ago
  I work for the professor from the article (but not on TextRunner). We're working on extracting meaning from reviews as well: http://revminer.com/ http://revminer.com/ At the moment, it only has reviews of Seattle places (restaurants, hotels, etc.) but we're moving it mobile. It's written using node.js and socket.io; I'd be interested in hearing any feedback.
  • agotterer 15y ago
    Is it also open source?
    • lazyjeff 15y ago
      Not yet, but we may open source the code when we publish the paper.
      • yannis 15y ago
        How does this relate to freebase.org? I see some of the js ajaxing to the freebase API.
  • andreasvc 15y ago
    I'd say you're extracting information, not meaning.
• acak 15y ago
  From the article - "For example, to find the names of people who are CEOs within millions of documents, you'd first need to train the software with other examples, such as "Steve Jobs is CEO of Apple, Sheryl Sandberg is CEO of Facebook." " Sheryl Sandberg? Deliberate or honest mistake? :-]
• antimora 15y ago
  Looks like the directory index was left open. http://textrunner.cs.washington.edu/ http://textrunner.cs.washington.edu/
  • timr 15y ago
    it's open source. just download it: http://reverb.cs.washington.edu/ http://reverb.cs.washington.edu/
• DallaRosa 15y ago
  Hasn't this been out for like, a long time?
• abhaga 15y ago
  Read The Web at CMU is also a similar system. http://rtw.ml.cmu.edu/rtw/ http://rtw.ml.cmu.edu/rtw/
• mark_l_watson 15y ago
  Awesome: code released under the GPL, with several data sets. Good to see this project (which has been under development for a long time) releasing technology for other people to use.