{"id":"W3123538310","doi":"10.18653/v1/2021.eacl-main.135","title":"SpanEmo: Casting Multi-label Emotion Classification as Span-prediction","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Open Text (Canada)","funders":"Umm Al-Qura University","keywords":"Sentence; Computer science; Natural language processing; Artificial intelligence; Sentiment analysis; Function (biology); Profiling (computer programming); Machine learning; Speech recognition","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":[0.00201805,0.001509682,0.0007264304,0.0009285171,0.0004138949,0.001310645,0.001206709,0.001282903,0.00337513],"category_scores_gemma":[0.004067746,0.0003037085,0.001107274,0.0005535698,0.0004515047,0.002714517,0.001464274,0.002274834,0.00221527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051585,"about_ca_system_score_gemma":0.0005297872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444428,"about_ca_topic_score_gemma":0.002572484,"domain_scores_codex":[0.9991155,0.0002785641,0.00005058921,0.0003278861,0.0001511078,0.00007623612],"domain_scores_gemma":[0.9984747,0.0006190378,0.0001538635,0.0002561116,0.0004056781,0.00009064289],"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":[0.001117427,0.0007692048,0.01315595,0.0003212917,0.0003275858,0.0004047337,0.0008472017,0.06693229,0.03253193,0.01799206,0.04227911,0.8233212],"study_design_scores_gemma":[0.00002010289,0.0001181543,0.001674344,0.00002518805,0.0000474919,0.00008783455,0.0001038943,0.9741827,0.005020631,0.01392711,0.004768938,0.00002374395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04099381,0.0004525117,0.9466285,0.001265945,0.0004170901,0.0002103466,0.0009883284,0.005237317,0.003806212],"genre_scores_gemma":[0.4624299,0.0005360658,0.515346,0.001260176,0.0007536359,0.0005620875,0.005354722,0.000558943,0.01319848],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00337513,"threshold_uncertainty_score":0.01129097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1207520480778474,"score_gpt":0.3291691309771665,"score_spread":0.2084170828993192,"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."}}