{"id":"W4211156271","doi":"10.2200/s00239ed1v01y200912hlt006","title":"Semantic Role Labeling","year":2011,"lang":"en","type":"article","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"FrameNet; Computer science; Semantic role labeling; Natural language processing; Artificial intelligence; Parsing; Task (project management); Inference; Annotation; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210705,0.0001567666,0.0001755344,0.001035762,0.001097551,0.0002782633,0.00142799,0.0001061491,0.00002471963],"category_scores_gemma":[0.0001489595,0.0001473272,0.00007295013,0.00153995,0.000182369,0.006255516,0.0008197404,0.0003671086,0.0005405438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006618596,"about_ca_system_score_gemma":0.0003914048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004096499,"about_ca_topic_score_gemma":0.00001886021,"domain_scores_codex":[0.9974151,0.0001429358,0.000326015,0.000252582,0.001388501,0.0004749058],"domain_scores_gemma":[0.9980626,0.00007317714,0.0001471865,0.0004414553,0.001105935,0.0001697029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002498667,0.00004016903,0.0007694412,0.0001386431,0.00004374342,0.00005392271,0.006788071,0.00002458267,0.00007317829,0.9707685,0.0004551776,0.02081956],"study_design_scores_gemma":[0.01532738,0.002361839,0.05230087,0.007888068,0.0002310797,0.002398112,0.1389506,0.5195203,0.03143034,0.06612881,0.15663,0.006832657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01691652,0.0009371285,0.837411,0.0003038022,0.000481607,0.0006775477,0.00002236112,0.001419825,0.1418302],"genre_scores_gemma":[0.9572117,0.00001063745,0.0424945,0.00003657666,0.00003760965,0.0000216143,0.0000156943,0.000004219915,0.0001674067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9402952,"threshold_uncertainty_score":0.8441588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07674148792415966,"score_gpt":0.3072401343124997,"score_spread":0.23049864638834,"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."}}