{"id":"W2900120976","doi":"10.18653/v1/w18-6219","title":"Self-Attention: A Better Building Block for Sentiment Analysis Neural Network Classifiers","year":2018,"lang":"en","type":"article","venue":"","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Recurrent neural network; Sentiment analysis; Block (permutation group theory); Artificial intelligence; Artificial neural network; Task (project management); Sequence (biology); Machine learning","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":[0.001753695,0.0009795182,0.0008192125,0.001050873,0.0004353064,0.001024998,0.001114017,0.0009308649,0.006259658],"category_scores_gemma":[0.003168451,0.0004187255,0.0006848511,0.0007658515,0.0003607855,0.002731711,0.000940166,0.001657938,0.002351419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007909072,"about_ca_system_score_gemma":0.0006815175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005273637,"about_ca_topic_score_gemma":0.007642488,"domain_scores_codex":[0.999471,0.0001322963,0.00003958505,0.0001589046,0.0001312251,0.00006709835],"domain_scores_gemma":[0.9988168,0.0004123816,0.00008400145,0.0001954982,0.000444238,0.00004709911],"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":[0.0003416283,0.0002764006,0.003521428,0.000183483,0.0002173084,0.0001160789,0.000130468,0.08454472,0.03857623,0.0143079,0.01127508,0.8465093],"study_design_scores_gemma":[0.00001888101,0.000120578,0.001188576,0.00002049495,0.00004890595,0.00004979701,0.00001785482,0.9758016,0.01208398,0.005516933,0.005117829,0.00001456526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04442846,0.001244978,0.9409097,0.0008507631,0.0002639923,0.0001861218,0.0003808086,0.004968135,0.006767036],"genre_scores_gemma":[0.5259373,0.0009400698,0.4592348,0.0009648253,0.0005213267,0.0002799636,0.001497166,0.0003916424,0.0102329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006259658,"threshold_uncertainty_score":0.0209406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036846082033298,"score_gpt":0.277479340125215,"score_spread":0.257110879304882,"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."}}