Unni Cathrine Eiken February 2005

4.1 Step I: Classification with TiMBL 59
4.1.1 The Nearest Neighbor approach 60
4.1.2 Testing 61
4.1.3 Comments on the results 68
4.2 Step II: Association of concept groups 68
4.2.1 Classify 72
4.2.2 Associated concept classes 73
4.3 Step III: Using concept groups in TiMBL 74
4.3.1 Testing 75
4.4 Are concept classes useful for anaphora resolution? 78
5 FINAL REMARKS 82
5.1 Is a parser vital for the extraction process? 82
5.2 Summary and conclusions 84
6 REFERENCES 86
APPENDIX A: EKSTRAKTOR.PL – ALGORITHM 89
APPENDIX B: EKSTRAKTOR.PL – PROGRAM CODE 92
APPENDIX C: THE EPAS LIST 101
APPENDIX D: TEXT ALIGNED WITH EPAS 105
APPENDIX E: CLASSIFY.PL – PROGRAM CODE 110
APPENDIX F: POS-BASED STRUCTURES 113
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