{"id":"W2098699913","doi":"","title":"Scalable Variational Inference for Extracting Hierarchical Phrase-based Translation Rules","year":2013,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Phrase; Inference; Artificial intelligence; Scalability; Translation (biology); Heuristic; Machine translation; Natural language processing; Set (abstract data type); Bayes' theorem; Bayesian probability","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":[0.002584189,0.0008738209,0.001699869,0.0008271912,0.0005208908,0.001218179,0.002778395,0.001464155,0.003067608],"category_scores_gemma":[0.00854383,0.001265961,0.001175993,0.001340225,0.001094473,0.002358746,0.001636896,0.002431867,0.0009127837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356512,"about_ca_system_score_gemma":0.001860255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020166,"about_ca_topic_score_gemma":0.018328,"domain_scores_codex":[0.998817,0.0004285949,0.00007259508,0.0002927723,0.00031008,0.00007902858],"domain_scores_gemma":[0.9967925,0.002421774,0.000152418,0.0003017525,0.0002518312,0.00007971912],"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":[0.00007986199,0.00006866129,0.0004961419,0.00008866276,0.000105675,0.00009624462,0.00007856254,0.8740089,0.003879145,0.03585692,0.002263239,0.08297811],"study_design_scores_gemma":[0.000005136189,0.000003495885,0.00001943153,0.000001837113,0.00000275481,0.000004253282,0.000001500046,0.9901705,0.0001874523,0.009478749,0.0001228144,0.00000207356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003559125,0.000113102,0.9952604,0.00009034136,0.00001349917,0.00002844141,0.00008617861,0.0003293661,0.0005195007],"genre_scores_gemma":[0.2818476,0.0003280074,0.7124754,0.0002589819,0.0001129232,0.0003131139,0.001172013,0.0004396259,0.003052304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01020166,"threshold_uncertainty_score":0.02028459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648136257941776,"score_gpt":0.2966106733359311,"score_spread":0.2701293107565134,"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."}}