Classifier Instance:

Anchor text: Burrows–Wheeler transform
Target Entity: Burrows\u2013Wheeler_transform
Preceding Context: bzip2 compresses data in blocks of size between 100 and 900 kB and uses the
Succeeding Context: to convert frequently-recurring character sequences into strings of identical letters. It then applies move-to-front transform and Huffman coding. bzip2's ancestor bzip used arithmetic coding instead of Huffman. The change was made because of a software patent restriction.
Paragraph Title: Compression efficiency
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_100021939-1.6933620356711765 0
wordnet_event_1000293780.9632251413113909 1
wordnet_act_1000303582.260008573131016 1
wordnet_action_100037396-1.7674195129614263 0
wordnet_activity_1004075351.9333696747390219 1
wordnet_game_100455599-1.5869321142972554 0
wordnet_diversion_100426928-1.6471689814980905 0
wordnet_representation_100898518-1.915002414600569 0
wordnet_use_100947128-1.516306720902347 0
wordnet_wrongdoing_100732746-1.2290293742958731 0
wordnet_procedure_1010238200.9911016480174115 1
wordnet_rule_1058469321.21856089589648 1
wordnet_algorithm_1058474381.4231400869127608 1
wordnet_work_100575741-1.3810828072209917 0
wordnet_sensory_activity_100876737-1.9015921495285824 0
wordnet_operation_100955060-1.691025464858015 0
wordnet_occupation_100582388-1.1746575579608267 0
wordnet_speech_act_107160883-1.6726218217546365 0
wordnet_group_action_101080366-1.9225531324449967 0
wordnet_communication_106252138-2.0401251417963593 0
wordnet_social_event_107288639-2.668901601814408 0
wordnet_happening_107283608-1.4865271999167327 0
wordnet_group_action_101080366-1.725650484889333 0
wordnet_organization_108008335-1.6324484674666087 0
wordnet_person_100007846-2.239594232037375 0
yagoGeoEntity-1.685735099034682 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