Classifier Instance:

Anchor text: ray-tracing
Target Entity: Ray_tracing_\u0028graphics\u0029
Preceding Context: These artifacts can be reduced by choosing a lower level of compression; they may be eliminated by saving an image using a lossless file format, though for photographic images this will usually result in a larger file size. The images created with
Succeeding Context: programs have noticeable blocky shapes on the terrain. Certain low-intensity compression artifacts might be acceptable when simply viewing the images, but can be emphasized if the image is subsequently processed, usually resulting in unacceptable quality. Consider the example below, demonstrating the effect of lossy compression on an edge detection processing step.
Paragraph Title: Compression ratio and artifacts
Source Page: JPEG

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_100021939-2.084715308516472 0
wordnet_event_1000293780.7100477822778758 1
wordnet_act_1000303582.265138668907872 1
wordnet_action_100037396-1.4298268819440143 0
wordnet_activity_1004075351.2909373391341905 1
wordnet_game_100455599-1.47520997714894 0
wordnet_diversion_100426928-1.3874018015278369 0
wordnet_representation_100898518-1.5004097212659575 0
wordnet_use_100947128-1.0891404306645294 0
wordnet_wrongdoing_100732746-1.3922755058456102 0
wordnet_procedure_1010238201.0885212544361378 1
wordnet_rule_1058469320.32686164742832596 1
wordnet_algorithm_1058474381.1677468186954036 1
wordnet_work_100575741-1.1688062600452074 0
wordnet_sensory_activity_100876737-1.4246341055694267 0
wordnet_operation_100955060-1.2951098763683817 0
wordnet_occupation_100582388-1.4270087155112579 0
wordnet_speech_act_107160883-1.596686465149682 0
wordnet_group_action_101080366-1.5590918534078322 0
wordnet_communication_106252138-1.342146227736945 0
wordnet_social_event_107288639-2.264266820617656 0
wordnet_happening_107283608-1.7151670235424787 0
wordnet_group_action_101080366-1.5035792828710666 0
wordnet_organization_108008335-2.110397078990578 0
wordnet_person_100007846-1.7628588432825603 0
yagoGeoEntity-2.006234664001935 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