Classifier Instance:

Anchor text: SHA-1
Target Entity: SHA\u002d1
Preceding Context: RIPEMD-160 (RACE Integrity Primitives Evaluation Message Digest) is a 160-bit message digest algorithm (cryptographic hash function) developed in Leuven, Belgium, by Hans Dobbertin, Antoon Bosselaers and Bart Preneel at the COSIC research group at the Katholieke Universiteit Leuven, and first published in 1996. It is an improved version of RIPEMD, which in turn was based upon the design principles used in MD4, and is similar in performance to the more popular
Succeeding Context:
Paragraph Title: null
Source Page: RIPEMD

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_100021939-2.105617127226457 0
wordnet_event_1000293780.7709785483974358 1
wordnet_act_1000303581.4521444777045012 1
wordnet_action_100037396-1.6745850949636412 0
wordnet_activity_1004075352.1023563279184776 1
wordnet_game_100455599-1.4201611991447136 0
wordnet_diversion_100426928-1.40374784042796 0
wordnet_representation_100898518-1.9383587447858273 0
wordnet_use_100947128-1.5866737261365498 0
wordnet_wrongdoing_100732746-1.283503469295829 0
wordnet_procedure_1010238201.3518620336947502 1
wordnet_rule_1058469321.1695314120171858 1
wordnet_algorithm_1058474381.211289009792523 1
wordnet_work_100575741-1.613464818727652 0
wordnet_sensory_activity_100876737-1.5896821741625276 0
wordnet_operation_100955060-1.109481218199447 0
wordnet_occupation_100582388-1.4902745899775593 0
wordnet_speech_act_107160883-1.6982214253323167 0
wordnet_group_action_101080366-1.7705363784798014 0
wordnet_communication_106252138-1.6524997161372537 0
wordnet_social_event_107288639-1.4402474635338132 0
wordnet_happening_107283608-1.9438143843336506 0
wordnet_group_action_101080366-2.0293209579784994 0
wordnet_organization_108008335-1.2179578115410936 0
wordnet_person_100007846-1.5256601177783418 0
yagoGeoEntity-1.9297129688246772 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