Classifier Instance:

Anchor text: Arbortext
Target Entity: Arbortext
Preceding Context: The arrival of SGML/XML as the document model made other typesetting engines popular. Such engines include RenderX's XEP, Datalogics Pager, Penta, Miles 33's OASYS, Xyvision's XML Professional Publisher (XPP), FrameMaker, Arbortext, YesLogic's Prince, QuarkXPress and Adobe InDesign. These products allow users to program their typesetting process around the SGML/XML with the help of scripting languages. Some of them, such as
Succeeding Context: Editor and XMetaL Author, provide attractive WYSIWYG-ish interfaces with support for XML standards and Unicode to attract a wider spectrum of users.
Paragraph Title: SGML and XML systems
Source Page: Typesetting

Ground Truth Types:

|---wordnet_entity_100001740
|  |---wordnet_person_100007846
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |  |  |---wordnet_skilled_worker_110605985_rest

Predicted Types:

TypeConfidenceDecision
wordnet_artifact_100021939-1.6964689608726444 0
wordnet_event_100029378-2.327805957089484 0
wordnet_organization_108008335-2.168217039167852 0
wordnet_person_1000078460.3366710758251657 1
wordnet_contestant_109613191-2.756353924853151 0
wordnet_peer_109626238-1.8781142269114517 0
wordnet_intellectual_109621545-2.1511300964329982 0
wordnet_female_109619168-1.7327550564946184 0
wordnet_communicator_109610660-2.1344143584941384 0
wordnet_ruler_110541229-2.671736979274264 0
wordnet_adult_109605289-2.0539324926616294 0
wordnet_entertainer_109616922-2.2814248860784074 0
wordnet_leader_109623038-3.0348443401168734 0
wordnet_worker_1096325181.6503328390789636 1
wordnet_skilled_worker_1106059850.796213869943552 1
wordnet_serviceman_110582746-1.4102705166145646 0
wordnet_official_110372373-1.233675386773748 0
wordnet_scientist_110560637-1.376801392090131 0
wordnet_creator_109614315-2.0917139863977967 0
wordnet_traveler_109629752-1.900057909995936 0
wordnet_disputant_109615465-1.6950891820300837 0
wordnet_preserver_110466918-1.906812624140502 0
wordnet_unfortunate_109630641-1.918574452661944 0
wordnet_expert_109617867-1.917283871693241 0
wordnet_adjudicator_109769636-1.4870204544075825 0
wordnet_good_person_110138767-1.9303659769147385 0
wordnet_authority_109824609-1.6968371584028634 0
wordnet_combatant_109939313-1.776610895633838 0
yagoGeoEntity-2.103477834585694 0
|---wordnet_entity_100001740
|  |---wordnet_artifact_100021939
|  |---wordnet_event_100029378
|  |---wordnet_organization_108008335
|  |---wordnet_person_100007846
|  |  |---wordnet_contestant_109613191
|  |  |---wordnet_peer_109626238
|  |  |---wordnet_intellectual_109621545
|  |  |---wordnet_female_109619168
|  |  |---wordnet_communicator_109610660
|  |  |---wordnet_ruler_110541229
|  |  |---wordnet_adult_109605289
|  |  |---wordnet_entertainer_109616922
|  |  |---wordnet_leader_109623038
|  |  |---wordnet_worker_109632518
|  |  |  |---wordnet_skilled_worker_110605985
|  |  |  |  |---wordnet_serviceman_110582746
|  |  |  |  |---wordnet_official_110372373
|  |  |---wordnet_scientist_110560637
|  |  |---wordnet_creator_109614315
|  |  |---wordnet_traveler_109629752
|  |  |---wordnet_disputant_109615465
|  |  |---wordnet_preserver_110466918
|  |  |---wordnet_unfortunate_109630641
|  |  |---wordnet_expert_109617867
|  |  |---wordnet_adjudicator_109769636
|  |  |---wordnet_good_person_110138767
|  |  |---wordnet_authority_109824609
|  |  |---wordnet_combatant_109939313
|  |---yagoGeoEntity