{"id":"W3034545352","doi":"10.24963/ijcai.2020/535","title":"End-to-End Transition-Based Online Dialogue Disentanglement","year":2020,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Session (web analytics); Coherence (philosophical gambling strategy); Scripting language; Semantics (computer science); Cluster analysis; Construct (python library); Matching (statistics); Artificial intelligence; Information retrieval; Data mining; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001931602,0.002191449,0.001552202,0.001494453,0.0007036425,0.002014109,0.002804094,0.00152687,0.00262085],"category_scores_gemma":[0.006952547,0.0006026266,0.001556757,0.001213825,0.0006238216,0.004802461,0.002350213,0.003365735,0.00233316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009943277,"about_ca_system_score_gemma":0.001466131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008858539,"about_ca_topic_score_gemma":0.01293746,"domain_scores_codex":[0.9977998,0.0005842199,0.0001528735,0.0009814182,0.0003045395,0.0001771886],"domain_scores_gemma":[0.9976393,0.001149692,0.0001998149,0.0004260439,0.0003774337,0.0002077597],"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":[0.002817171,0.001456875,0.0162986,0.001093057,0.0003880273,0.0005173179,0.002671824,0.1781438,0.02167363,0.01332727,0.03006266,0.7315498],"study_design_scores_gemma":[0.00003546344,0.00009290265,0.001359451,0.00002272966,0.0000494974,0.0001000625,0.0001670663,0.979605,0.004757854,0.008567752,0.005212356,0.0000299566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06762923,0.001438141,0.9040436,0.000598261,0.0001280513,0.0005111322,0.004310882,0.01838253,0.002958091],"genre_scores_gemma":[0.6139973,0.0005306979,0.3616788,0.0003102817,0.0001235306,0.0006780956,0.01442371,0.0006842553,0.007573268],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008858539,"threshold_uncertainty_score":0.01761395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721158560990195,"score_gpt":0.2535857265284689,"score_spread":0.216374140918567,"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."}}