{"id":"W7026899228","doi":"","title":"Autoencoders for natural language semantics","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Formal semantics (linguistics); Domain (mathematical analysis); Semantic interpretation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258361,0.001199179,0.0009912807,0.001675725,0.0005603218,0.00230991,0.001511442,0.001217735,0.01424343],"category_scores_gemma":[0.004584746,0.0009269994,0.001706332,0.001487267,0.001036022,0.003974861,0.001471788,0.002916169,0.005206999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385673,"about_ca_system_score_gemma":0.001553345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008219033,"about_ca_topic_score_gemma":0.01494219,"domain_scores_codex":[0.998907,0.0002904968,0.0001119948,0.0003202137,0.0002981024,0.00007226419],"domain_scores_gemma":[0.998209,0.00112238,0.0001142775,0.0002692012,0.0002504409,0.00003475819],"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":[0.0002767523,0.000134994,0.001015681,0.0008656638,0.0002605417,0.0002802593,0.0003237334,0.1121748,0.006414336,0.1988456,0.03042671,0.6489809],"study_design_scores_gemma":[0.00004162225,0.0000487428,0.0006203871,0.0001711512,0.0000368488,0.0001091701,0.00006981359,0.6940964,0.002930757,0.2661628,0.03567978,0.00003265728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004605088,0.00323493,0.9762068,0.0009916103,0.0003185492,0.00009041317,0.001780331,0.007471005,0.005301293],"genre_scores_gemma":[0.2150786,0.008144989,0.7307681,0.001101435,0.0007235424,0.0006910476,0.009730081,0.002117144,0.03164506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01424343,"threshold_uncertainty_score":0.04764903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0082578758154122,"score_gpt":0.198914133470914,"score_spread":0.1906562576555018,"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."}}