Difference between revisions of "Apappu writeup on Sutton and Maccullum"

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Latest revision as of 10:42, 3 September 2010

This is a review of sutton_2004_collective_segmentation_and_labeling_of_distant_entities_in_information_extraction by user:Apappu.

  • This paper aims to solve the co-reference problem that appear in talk-summary emails.
  • They describe skip-chain CRFs as extended linear chain CRFs that can allow long-distant edges between tokens which represent a sense of co-reference in case of Named Entities.
  • They also mention that inference in skip-chain CRFs is intractable hence they reside with approximate inference using tree reparametrization algorithm.
  • They show that in overall performance skip-CRF does better than the linear one due to improved recall over the recognition of speaker names when former was used.
  • NO reason was given to explain the drop in performance over recognizing s-time and e-time. Does, approximate inference hurt short-distant connections ?