{"id":"W2898396042","doi":"10.1109/asonam.2018.8508612","title":"Implicit Entity Linking Through Ad-Hoc Retrieval","year":2018,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Entity linking; Information retrieval; Knowledge base; Set (abstract data type); Process (computing); Representation (politics); Space (punctuation); Baseline (sea); Natural language processing; World Wide Web; Programming language","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":[0.004520738,0.001884659,0.002174641,0.006572613,0.001714368,0.004102405,0.004447024,0.002812624,0.006977312],"category_scores_gemma":[0.01822852,0.000912581,0.001509034,0.008246671,0.001572425,0.01111235,0.00435261,0.001955103,0.00608047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203609,"about_ca_system_score_gemma":0.002721469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005084729,"about_ca_topic_score_gemma":0.005991636,"domain_scores_codex":[0.9951379,0.001864303,0.0004049307,0.001145973,0.001143585,0.0003034262],"domain_scores_gemma":[0.9882016,0.004861132,0.0008931134,0.004473252,0.001417549,0.0001534412],"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":[0.0004717253,0.0006115625,0.003808599,0.0008713215,0.00031925,0.0004286323,0.0008382419,0.06431429,0.01833949,0.03449991,0.02377071,0.8517262],"study_design_scores_gemma":[0.0002053218,0.0004311968,0.002782296,0.0001532159,0.0004773471,0.00143989,0.0007904736,0.8100335,0.04302071,0.07625436,0.06422023,0.0001913995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02534297,0.002412454,0.9602966,0.0005362372,0.0001920755,0.0005290917,0.0009165599,0.004260977,0.005513036],"genre_scores_gemma":[0.3126079,0.002848959,0.6549037,0.0004794437,0.0005842232,0.0006451061,0.005926983,0.0006781821,0.02132546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006977312,"threshold_uncertainty_score":0.02390826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563203923408013,"score_gpt":0.2889928989409108,"score_spread":0.2533608597068307,"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."}}