Difference between revisions of "Apappu writeup on Wang IJCNLP '09"

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Latest revision as of 10:42, 3 September 2010

This is a review of Wang_2009_automatic_set_instance_extraction_using_the_web by user:Apappu.

  • Automatic set instance extractor builds up on the previous work noise-resistant version of SEAL.
  • Authors propose a near-language independent and state-of-art approach that did well on benchmark tests.
  • This approach consists of three major components that function in the following fashion:
  • Set-Expander takes seeds of target concept as input and gives out an expanded set representing the target concept.
  • Reranker ranks the noisy candidates using noise-resistant SEAL.
  • Bootstrapper, after each iteration adds highly ranked output candidates to its input data.

Comment: I liked the idea of using back-off strategy to compensate for the lack of web documents that contain hyponym phrases.