1. Plain Text Information Extraction (based on Machine Learning ) Chia-Hui Chang Department of Computer Science & Information Engineering National Central University [email_address] 9/24/2002

4. SRV Information Extraction from HTML: Application of a General Machine Learning Approach Dayne Freitag [email_address] AAAI-98

11. Example

15. Adapting SRV for HTML

17. OPD Coverage: Each rule has its own confidence

18. MPD

19. Baseline Strategies Simply memorizes field instances Random Guesser OPD MPD

21. RAPIER Relational Learning of Pattern-Match Rules for Information Extraction M.E. Califf and R.J. Mooney ACL-97, AAAI-1999

29. WHISK: S. Soderland University of Washington Journal of Machine Learning 1999

30. Semi-structured Text

31. Free Text Person name Position Verb stem Verb stem

34. Example – Tagged by Users

35. The WHISK Algorithm

37. Example

40. EN

41. AutoSlog: Automatically Constructing a Dictionary for Information Extraction Tasks Ellen Riloff Dept. of Computer Science, University of Massachusetts, AAAI93

43. Concept Node Example Physical target slot of a bombing template

45. Conceptual Anchor Point Heuristics

47. Another good concept node definition Perpetrator slot from a perpetrator template

48. A bad concept node definition Victim slot from a kidnapping template

51. CRYSTAL : Inducing a Conceptual Dictionary S. Soderland, D. Fisher, J. Aseltine, W. Lehnert University of Massachusetts IJCAI’95