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Segmenting citation data with latent permutations

  • We propose a completely new citation segmentation method based on a proposal by Chen et al.[2]
    • Generalized Mallows model is used effectively for extending LDA to realize topic sequence mining.
  • We proposed an unsupervised method [Masada+ WISS2010] and its semi-supervised version [Masada+ ICADL2011].
    • The above figure presents a segmentation example obtained by our semi-supervised segmentation.
  • This is a joint work with Prof. Atsuhiro Takasu in NII.