{"id":"W3104616748","doi":"","title":"Unsupervised Text Generation by Learning from Search","year":2020,"lang":"en","type":"article","venue":"Neural Information Processing Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Paraphrase; Computer science; Artificial intelligence; Generative grammar; Bootstrapping (finance); Unsupervised learning; Machine learning; Baseline (sea); Beam search; Natural language processing; Simulated annealing; Search algorithm; Algorithm; Mathematics","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":[0.0008463871,0.0005131038,0.0007582895,0.001069299,0.0003875676,0.0006920046,0.001616268,0.0009103279,0.002637994],"category_scores_gemma":[0.004300535,0.000344379,0.0007870057,0.001059905,0.0007401941,0.001801338,0.0009509895,0.0009499861,0.0009771563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007004938,"about_ca_system_score_gemma":0.0008977643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598125,"about_ca_topic_score_gemma":0.004321685,"domain_scores_codex":[0.9993819,0.0002347516,0.00003440056,0.0001947695,0.0001135061,0.00004062948],"domain_scores_gemma":[0.9982101,0.001082021,0.0001386848,0.0003108746,0.0002017809,0.00005655214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002190577,0.0002705323,0.002493534,0.0003641485,0.0001295335,0.0002237451,0.0003940829,0.5307276,0.01315667,0.06605622,0.01271665,0.3732482],"study_design_scores_gemma":[0.00002005041,0.00002531245,0.0001323994,0.000007853248,0.000009542006,0.00003478275,0.00001396773,0.9728282,0.002105707,0.02321791,0.001597473,0.000006924759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0209505,0.0003995904,0.9743188,0.0002438815,0.00003384301,0.0001060146,0.0002194635,0.001968603,0.001759281],"genre_scores_gemma":[0.5574704,0.0003613922,0.4321589,0.0004242445,0.0001176403,0.0004803525,0.001928288,0.0007019789,0.006356771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002637994,"threshold_uncertainty_score":0.008824944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06081246761507966,"score_gpt":0.2505761038194219,"score_spread":0.1897636362043422,"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."}}