{"id":"W4385570955","doi":"10.18653/v1/2023.findings-acl.860","title":"ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Sentiment analysis; Artificial intelligence; Natural language processing; Modality (human–computer interaction); Modalities; Domain knowledge","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":[],"consensus_categories":[],"category_scores_codex":[0.0003977425,0.0001119306,0.0002310991,0.0005816112,0.000169783,0.0001501397,0.0002687983,0.00004074724,0.00008896907],"category_scores_gemma":[0.00002510102,0.00009752886,0.0003137856,0.002463339,0.00001752691,0.0002221779,0.0001216389,0.00003871952,0.0002556836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000363548,"about_ca_system_score_gemma":0.00002548486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003489015,"about_ca_topic_score_gemma":0.00004136983,"domain_scores_codex":[0.9989057,0.00004012578,0.0002388733,0.0003981199,0.0001596438,0.0002574905],"domain_scores_gemma":[0.9992437,0.0002122141,0.00007702918,0.0002499405,0.0001467873,0.00007037268],"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":[0.0001127423,0.001243516,0.1242031,0.0000824497,0.01979121,0.00002087315,0.01592,0.0601437,0.008955619,0.305616,0.1006354,0.3632754],"study_design_scores_gemma":[0.0004505979,0.00006843718,0.009824396,0.000003090915,0.0001920473,3.472815e-7,0.000252713,0.9841139,0.002166291,0.0002490905,0.002539677,0.0001394535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02619363,0.00003640563,0.9704448,0.0003335862,0.0004066281,0.0002074007,0.000004068327,0.0003291973,0.00204427],"genre_scores_gemma":[0.9786881,0.000004419416,0.01308396,0.00009196386,0.00009735127,0.00006051127,0.00005136816,0.000006730403,0.007915583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9573609,"threshold_uncertainty_score":0.3977112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02961421300823299,"score_gpt":0.3166614163898587,"score_spread":0.2870472033816257,"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."}}