Classifier Instance:

Anchor text: DEFLATE
Target Entity: DEFLATE
Preceding Context: # Sparse bit array: a bitmap is used to show which symbols are used inside the block and should be included in the Huffman trees. Binary data is likely to use all 256 symbols representable by a byte, whereas textual data may only use a small subset of available values, perhaps covering the ASCII range between 32 and 126. Storing 256 zero bits would be inefficient if they were mostly unused. A sparse method is used: the 256 symbols are divided up into 16 ranges and only if symbols are used within that block is a 16-bit array included. The presence of each of these 16 ranges is indicated by an additional 16-bit bit array at the front. The total bitmap uses between 32 and 272 bits of storage (4–34 bytes). For contrast, the
Succeeding Context: algorithm would show the absence of a symbol by encoding the symbol as having zero bit-length; this is very inefficient with the Delta-encoding used in bzip2 which is the reason for bzip2 having a separate bit array.
Paragraph Title: null
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_100021939-1.9363162397920448 0
wordnet_event_1000293781.0187388094966234 1
wordnet_act_1000303582.3558503025346123 1
wordnet_action_100037396-1.49243176537542 0
wordnet_activity_1004075351.3323870736906147 1
wordnet_game_100455599-1.710126848777514 0
wordnet_diversion_100426928-1.6086491315393936 0
wordnet_representation_100898518-1.9244170491357846 0
wordnet_use_100947128-1.5426890335652825 0
wordnet_wrongdoing_100732746-1.391117962623472 0
wordnet_procedure_1010238201.5915774701992869 1
wordnet_rule_1058469321.382433662227478 1
wordnet_algorithm_1058474381.15205480553301 1
wordnet_work_100575741-1.4205826617303987 0
wordnet_sensory_activity_100876737-1.5806263016819402 0
wordnet_operation_100955060-1.6404698090364598 0
wordnet_occupation_100582388-1.8664582554978875 0
wordnet_speech_act_107160883-2.021999705541854 0
wordnet_group_action_101080366-2.3414980777615724 0
wordnet_communication_106252138-1.3184557525400529 0
wordnet_social_event_107288639-2.4284713207063344 0
wordnet_happening_107283608-2.091520926668141 0
wordnet_group_action_101080366-1.9578424860767116 0
wordnet_organization_108008335-1.9720247617928823 0
wordnet_person_100007846-2.0379223443782277 0
yagoGeoEntity-2.13125225301323 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