Uncategorized pages

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Showing below up to 50 results in range #501 to #550.

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  1. Brin 1998 Extracting Patterns and Relations from the World Wide Web
  2. Brin 1999 extracting patterns and relations from the world wide web
  3. British National Corpus
  4. Brown clustering
  5. Brown corpus
  6. Build an anxiety index for LiveJournal, an active blogging community
  7. Building domain specific NERs by using information from domain-general annotations
  8. Bunescu 2005 a shortest path dependency kernel for relation extraction
  9. Bunescu 2006 subsequence kernels for relation extraction
  10. Bunescu 2007 learning to extract relations from the web using minimal supervision
  11. Bunescu et al., 2005
  12. Buza et al Scalable Event-based Clustering of Social Media via Record Linkage Techniques ICWSM 2011
  13. C. Mota and R. Grishman. ACL-IJCNLP 2009
  14. CDE Stock Ownership Directory
  15. CETEMPublico
  16. CSpace email corpus
  17. CYK Parsing
  18. Can predicate-argument structures be used for contextual opinion retrieval from blogs?
  19. Capturing Global Mood Levels using Blog Posts
  20. Carlson 2009 coupling semi supervised learning of categories and relations
  21. Carreras et al, CoNLL 2003
  22. Cascading Behavior in Blog Networks
  23. Cascading Behavior in Large Blog Graphs
  24. Castillo 2011
  25. Catching and Forecasting Popular Videos on Youtube
  26. Category
  27. CcLDA, Paul and Girju 2009
  28. Celex corpus
  29. Centrality scores
  30. Cha, M., A. Mislove, and K. P Gummadi. 2009. A measurement-driven analysis of information propagation in the Flickr social network
  31. Chambers and Jurafsky, ACL 2010
  32. Chambers and Jurafsky, Jointly combining implicit constraints improves temporal ordering, EMNLP 2008
  33. Chambers and Jurafsky, Unsupervised Learning of Narrative Event Chains, ACL 2008
  34. Chang, Annals of Applied Statistics(AoAS) 2010
  35. Chang and Blei, AOAS2010
  36. Charniak and Johnson 2005
  37. Chelba and Acero, EMNLP 2004: Adaptation of Maximum Entropy Capitalizer: Little Data Can Help A Lot
  38. Chen et al., CHI 2010
  39. Chiang 2005
  40. Chih-Chao (Jason) Chen: "Community Computing: Comparisons between Rural and Urban Societies using Mobile Phone Data"
  41. Chih-Chao (Jason) Chen will present: "Community Computing: Comparisons between Rural and Urban Societies using Mobile Phone Data",
  42. Child-directed speech
  43. Chklovski and Pantel (2004) Verbocean:Mining the web for fine-grained semantic verb relations
  44. Choi, ACL 2010
  45. Choi et al 2005
  46. Choi et al 2006
  47. Choudhury et al ICWWW 2010
  48. Chun-Nam John Yu, Hofmann , Learning structural SVMs with latent variables 2009
  49. Chun-Nam John Yu, Joachims , Learning structural SVMs with latent variables 2009
  50. Church's suffix array algorithm

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