{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001646448,0.0001118587,0.0001281226,0.0000503161,0.0002418747,0.001288067,0.0004105355,0.00006481241,0.000006648768],"category_scores_gemma":[0.00004513454,0.0001046343,0.00002428634,0.0002465807,0.00001043231,0.004572459,0.00008760099,0.0002112882,0.0001464953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000368244,"about_ca_system_score_gemma":0.00006124307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001146731,"about_ca_topic_score_gemma":3.111693e-7,"domain_scores_codex":[0.9987038,0.00008204055,0.0004265509,0.0001890373,0.000413726,0.0001848669],"domain_scores_gemma":[0.9994143,0.00002105427,0.0001464103,0.0001481386,0.0001633492,0.0001067067],"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":[0.000008647871,0.00001167123,0.0008377807,0.0003200677,0.0000122697,0.000001818686,0.02876614,0.5347354,0.03037386,0.001257993,0.00372032,0.399954],"study_design_scores_gemma":[0.0001997406,0.00002540556,0.0000280962,0.00001752143,0.000001648979,0.000002644379,0.0003475709,0.9922327,0.001460861,0.000004189233,0.005563535,0.0001160547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08791786,0.0002767363,0.9086558,0.001824962,0.000254907,0.0001670618,0.000002675021,0.0003749205,0.0005250657],"genre_scores_gemma":[0.9961045,0.000003376227,0.002414895,0.001078881,0.0002388209,0.00001427487,0.0000876715,0.000005956634,0.00005161085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9081867,"threshold_uncertainty_score":0.9997487,"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."}}