{"id":"W2964626625","doi":"10.24963/ijcai.2019/725","title":"Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Embedding; Knowledge graph; Graph; Artificial intelligence; Scope (computer science); Task (project management); Natural language processing; Graph embedding; Information retrieval; Theoretical computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006766843,0.001043902,0.0005039268,0.001464652,0.000274201,0.0008413358,0.0009108594,0.000808387,0.001497661],"category_scores_gemma":[0.005131111,0.0003601009,0.0007364826,0.001480895,0.0005005622,0.003797113,0.001325274,0.001173864,0.0006785645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346007,"about_ca_system_score_gemma":0.0004137513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723719,"about_ca_topic_score_gemma":0.005144355,"domain_scores_codex":[0.9994703,0.0001722518,0.0000346741,0.000193403,0.0000950601,0.00003435856],"domain_scores_gemma":[0.9977089,0.001146647,0.0003003181,0.0004723702,0.0003002599,0.00007144624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000281305,0.0004572629,0.004594504,0.0003348359,0.0001987831,0.0002057243,0.0003744088,0.3723114,0.02043664,0.02281629,0.006811492,0.5711774],"study_design_scores_gemma":[0.00001131093,0.00006128972,0.0006412116,0.00001760051,0.00003180627,0.00006510235,0.00005635971,0.9781526,0.004443072,0.01453958,0.001967254,0.00001283948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08402126,0.000441053,0.9107667,0.0002788208,0.00006666513,0.00008148392,0.0004949516,0.001442112,0.002406911],"genre_scores_gemma":[0.643048,0.0006040139,0.3465586,0.0001568614,0.000108045,0.0001511767,0.003442096,0.0003439469,0.005587325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001723719,"threshold_uncertainty_score":0.005010188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612721844520788,"score_gpt":0.3061260201468075,"score_spread":0.2799988017015996,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}