First Result:
Pos-Tag precision recall F-measure
I-MISC 0.7947178871548619 0.7282728272827282 0.7600459242250287
B-LOC 0.0 0.0 0.0
I-PER 0.84688995215311 0.8945848375451263 0.8700842696629214
I-LOC 0.8509280742459396 0.7664576802507836 0.8064870808136338
B-MISC 0.0 0.0 0.0
I-ORG 0.6677442528735632 0.7474869320466425 0.7053690001897173
B-ORG 0.0 0.0 0.0
O 0.9858478249516947 0.9815676589106981 0.9837030861222203
Accuracy: 0.9496832384838398
Precision: 0.5182659989223962
Recall: 0.5147962420044974
F-Measure: 0.5157111701266902
Second Result: (added ContainsHyphenFeatureFunction, checks if in the token there is a hypen)
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.8524781341107872 0.7638453500522466 0.8057316065031689
B-MISC 0.0 0.0 0.0
I-ORG 0.667262969588551 0.7498994772818657 0.706171904581598
O 0.9861804122364743 0.9814116729494345 0.9837902637339727
B-ORG 0.0 0.0 0.0
I-MISC 0.7847058823529411 0.7337733773377337 0.7583854462762933
I-PER 0.8458646616541353 0.8935018050541517 0.8690308988764045
Accuracy: 0.9496188124127564
Precision: 0.5170615074928612
Recall: 0.515303960334429
F-Measure: 0.5153887649964297
Time: 213123ms
Third Result: (added Ngram in ContextTextExtracto, it consides the current word, the previous and the following)
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.8510762070971495 0.764367816091954 0.8053949903660886
B-MISC 0.0 0.0 0.0
I-ORG 0.6597421203438395 0.7406513872135102 0.6978594430763402
O 0.9856148977350002 0.9796958273755362 0.9826464491062464
B-ORG 0.0 0.0 0.0
I-MISC 0.7964497041420119 0.7403740374037404 0.7673888255416191
I-PER 0.8373109243697479 0.8992779783393502 0.8671888598781549
Accuracy: 0.9482014388489208
Precision: 0.5162742317109685
Recall: 0.5155458808030114
F-Measure: 0.5150598209960561
Time: 579515ms
Trained with eng.list and without ngrams
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.45714285714285713 0.008359456635318705 0.016418676244227808
B-MISC 0.0 0.0 0.0
I-ORG 0.1066943322048706 0.39284278246883797 0.16781174854002062
O 0.0 0.0 0.0
B-ORG 0.0 0.0 0.0
I-PER 0.3409090909090909 0.016245487364620937 0.031013094417643
I-MISC 0.021293735399156844 0.8723872387238724 0.04157273918741809
Accuracy: 0.039321378717921185
Precision: 0.11575500195699694
Recall: 0.16122937064908124
F-Measure: 0.03210203229866369
Time: 64945ms
Trained with eng.list and with ngrams
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.45161290322580644 0.0073145245559038665 0.014395886889460155
B-MISC 0.0 0.0 0.0
I-ORG 0.10154589371980677 0.42259750703659027 0.16374542338552622
O 0.0 0.0 0.0
B-ORG 0.0 0.0 0.0
I-PER 0.32608695652173914 0.016245487364620937 0.030949105914718014
I-MISC 0.02161127448260556 0.856985698569857 0.04215938303341902
Accuracy: 0.040566949425534196
Precision: 0.11260712849374474
Recall: 0.1628929021908715
F-Measure: 0.031406224902890426
Time: 82490ms
Trained with eng.list and without context
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.3870967741935484 0.006269592476489028 0.012339331619537276
B-MISC 0.0 0.0 0.0
I-ORG 0.14044213263979194 0.17370325693606756 0.15531188207801547
O 0.0 0.0 0.0
B-ORG 0.0 0.0 0.0
I-PER 0.32830882352941176 0.3223826714801444 0.32531876138433513
I-MISC 0.020619568952820463 0.9240924092409241 0.040339040026892696
Accuracy: 0.046751852249543646
Precision: 0.10955841241444657
Recall: 0.17830599126670313
F-Measure: 0.06666362688859757
Time: 53022ms
Fourth result (used pattern recognition in standard pos)
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.8314606741573034 0.6959247648902821 0.757679180887372
B-MISC 0.0 0.0 0.0
I-ORG 0.588495575221239 0.6417370325693607 0.6139642238892095
O 0.9808130251550925 0.9741323280904719 0.9774612615432776
B-ORG 0.0 0.0 0.0
I-MISC 0.6812080536912751 0.66996699669967 0.6755407653910149
I-PER 0.7228915662650602 0.8231046931407943 0.7697501688048616
Accuracy: 0.9296037796628369
Precision: 0.4756086118112463
Recall: 0.4756082269238224
F-Measure: 0.47429945006446694
Time: 136896ms
5th without ngrams and hypen
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.8314606741573034 0.6959247648902821 0.757679180887372
B-MISC 0.0 0.0 0.0
I-ORG 0.588495575221239 0.6417370325693607 0.6139642238892095
O 0.9808130251550925 0.9741323280904719 0.9774612615432776
B-ORG 0.0 0.0 0.0
I-MISC 0.6812080536912751 0.66996699669967 0.6755407653910149
I-PER 0.7228915662650602 0.8231046931407943 0.7697501688048616
Accuracy: 0.9296037796628369
Precision: 0.4756086118112463
Recall: 0.4756082269238224
F-Measure: 0.47429945006446694
Time: 129782ms
6th without ngrams but with hypens hypen
Pos-Tag precision recall F-measure
B-LOC 0.0 0.0 0.0
I-LOC 0.8314606741573034 0.6959247648902821 0.757679180887372
B-MISC 0.0 0.0 0.0
I-ORG 0.588495575221239 0.6417370325693607 0.6139642238892095
O 0.9808130251550925 0.9741323280904719 0.9774612615432776
B-ORG 0.0 0.0 0.0
I-MISC 0.6812080536912751 0.66996699669967 0.6755407653910149
I-PER 0.7228915662650602 0.8231046931407943 0.7697501688048616
Accuracy: 0.9296037796628369
Precision: 0.4756086118112463
Recall: 0.4756082269238224
F-Measure: 0.47429945006446694
Time: 129893ms