{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005943319,0.00008963942,0.00009952387,0.00003468886,0.000044652,0.00005510379,0.0004317351,0.00002015947,0.0002591453],"category_scores_gemma":[0.00001249856,0.00008043923,0.00005175994,0.0002046929,0.000008688027,0.0001095328,0.00006887809,0.00006144462,0.00008377606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002577669,"about_ca_system_score_gemma":0.00005374345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000701305,"about_ca_topic_score_gemma":0.00007890433,"domain_scores_codex":[0.9990537,0.00002659747,0.0001740344,0.0003302459,0.000236669,0.0001787888],"domain_scores_gemma":[0.9994401,0.00003747718,0.00001776523,0.0002736521,0.00002488616,0.0002061705],"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":[0.00008626711,0.001232755,0.00219141,0.0001784527,0.0001136603,0.0003215972,0.02048768,0.2279913,0.01973065,0.2118194,0.01597464,0.4998722],"study_design_scores_gemma":[0.0003958733,0.00009083915,0.0003591562,0.000007907671,0.000004979692,6.656973e-7,0.00005186057,0.9892561,0.002969942,0.0003327299,0.006368529,0.0001614465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01085194,0.000008981921,0.9184383,0.06961371,0.0001297638,0.0001354174,0.00001819822,0.0001934882,0.0006102489],"genre_scores_gemma":[0.8217942,6.207557e-7,0.1553459,0.02264916,0.0001465148,0.00000742667,0.00002154552,0.000004855383,0.00002975085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8109422,"threshold_uncertainty_score":0.3280217,"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."}}