{"id":"W2586489272","doi":"10.1109/slt.2016.7846290","title":"Quaternion Neural Networks for Spoken Language Understanding","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Mathematical Analysis and Transform Methods","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence; Quaternion; Representation (politics); Artificial neural network; Word (group theory); Natural language processing; Task (project management); Multilayer perceptron; Subspace topology; Machine learning; Mathematics","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":[0.001157019,0.0003289972,0.0007051859,0.00009884576,0.00008314897,0.00010048,0.0002766026,0.0003299716,0.0005316744],"category_scores_gemma":[0.0002296362,0.0001959033,0.0005795196,0.00005624016,0.00004061573,0.00004671701,0.0001719441,0.0002782282,0.000005708766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009583805,"about_ca_system_score_gemma":0.00001636909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393545,"about_ca_topic_score_gemma":0.00004274679,"domain_scores_codex":[0.998286,0.0001052903,0.0005738534,0.0004209288,0.0002354195,0.0003785285],"domain_scores_gemma":[0.9974322,0.001753794,0.0002089557,0.0004486263,0.00004609237,0.0001103837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005765717,0.00009809821,0.00005232444,0.001694053,0.0004021344,0.000005508018,0.0005172869,0.00006825131,0.00003034551,0.989224,0.001044843,0.006805505],"study_design_scores_gemma":[0.00035726,0.00002326531,0.000002476046,0.000308489,0.0003048515,0.000001912205,0.0002564681,0.1778931,0.0001510178,0.8203775,0.00003990883,0.0002836819],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00539415,0.00008947559,0.9821376,0.0005854015,0.0002901189,0.0007227611,0.00003192395,0.0001771166,0.01057145],"genre_scores_gemma":[0.9144858,0.00002680986,0.08019,0.00008967193,0.0005794743,0.0001509209,0.00004641047,0.00008753601,0.00434335],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9090917,"threshold_uncertainty_score":0.7988706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1935724664137032,"score_gpt":0.4080189882080485,"score_spread":0.2144465217943453,"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."}}