Classifier Instance:

Anchor text: Move to front
Target Entity: Move\u002dto\u002dfront_transform
Preceding Context: #
Succeeding Context: (MTF): again, this transform does not alter the size of the processed block. Each of the symbols in use in the document is placed in an array. When a symbol is processed, it is replaced by its location (index) in the array and that symbol is shuffled to the front of the array. The effect is that immediately recurring symbols are replaced by zero symbols (long runs of any arbitrary symbol thus become runs of zero symbols), while other symbols are remapped according to their local frequency. A lot of "natural" data contains identical symbols that recur within a limited range (text is a good example). As the MTF transform assigns low values to symbols that reappear frequently, this results in a data stream which contains a lot of symbols in the low integer range, many of them being identical (different recurring input symbols can actually map to the same output symbol). Such data can be very efficiently encoded by any legacy compression method.
Paragraph Title: Compression stack
Source Page: Bzip2

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---wordnet_activity_100407535
|  |  |  |  |---wordnet_procedure_101023820
|  |  |  |  |  |---wordnet_rule_105846932
|  |  |  |  |  |  |---wordnet_algorithm_105847438

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-2.190110142537968 0
wordnet_event_1000293780.7673689895188077 1
wordnet_act_1000303581.6331410542260332 1
wordnet_action_100037396-1.822071752347521 0
wordnet_activity_1004075351.8100219288173367 1
wordnet_game_100455599-1.3882419374333834 0
wordnet_diversion_100426928-1.705159615653591 0
wordnet_representation_100898518-1.7508476465885736 0
wordnet_use_100947128-1.806134827941131 0
wordnet_wrongdoing_100732746-1.6329694732450437 0
wordnet_procedure_1010238200.9733560514391324 1
wordnet_rule_1058469320.7389250958637088 1
wordnet_algorithm_1058474381.3714170577452554 1
wordnet_work_100575741-1.2917680241088787 0
wordnet_sensory_activity_100876737-1.7098724540436239 0
wordnet_operation_100955060-1.1430418698053308 0
wordnet_occupation_100582388-2.2029396582503105 0
wordnet_speech_act_107160883-2.068962172554129 0
wordnet_group_action_101080366-1.7358589860518228 0
wordnet_communication_106252138-1.6828597243009031 0
wordnet_social_event_107288639-1.779140640002058 0
wordnet_happening_107283608-2.034262331379491 0
wordnet_group_action_101080366-1.636021833236176 0
wordnet_organization_108008335-3.120263136791929 0
wordnet_person_100007846-3.3841497635080837 0
yagoGeoEntity-2.415956305259811 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |  |---wordnet_act_100030358
|  |  |  |---wordnet_action_100037396
|  |  |  |---wordnet_activity_100407535
|  |  |  |  |---wordnet_game_100455599
|  |  |  |  |---wordnet_diversion_100426928
|  |  |  |  |---wordnet_representation_100898518
|  |  |  |  |---wordnet_use_100947128
|  |  |  |  |---wordnet_wrongdoing_100732746
|  |  |  |  |---wordnet_procedure_101023820
|  |  |  |  |  |---wordnet_rule_105846932
|  |  |  |  |  |  |---wordnet_algorithm_105847438
|  |  |  |  |---wordnet_work_100575741
|  |  |  |  |---wordnet_sensory_activity_100876737
|  |  |  |  |---wordnet_operation_100955060
|  |  |  |  |---wordnet_occupation_100582388
|  |  |  |---wordnet_speech_act_107160883
|  |  |  |---wordnet_group_action_101080366
|  |  |  |---wordnet_communication_106252138
|  |  |---wordnet_social_event_107288639
|  |  |---wordnet_happening_107283608
|  |  |---wordnet_group_action_101080366
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |---yagoGeoEntity