{"id":"W2510506392","doi":"","title":"On referring expressions in query answering over first order knowledge bases","year":2016,"lang":"en","type":"article","venue":"Principles of Knowledge Representation and Reasoning","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Conjunctive query; Context (archaeology); Noun phrase; Knowledge base; Description logic; Expression (computer science); Class (philosophy); Natural language processing; Artificial intelligence; Information retrieval; Relational database; Programming language; Noun","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":[0.01611543,0.001239527,0.001865307,0.004518604,0.003548116,0.009089249,0.004088551,0.002971215,0.006070493],"category_scores_gemma":[0.03761599,0.00178317,0.003522178,0.009999847,0.01129345,0.02902936,0.008340033,0.005999437,0.001628512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006094165,"about_ca_system_score_gemma":0.002341867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01504171,"about_ca_topic_score_gemma":0.008222971,"domain_scores_codex":[0.9836865,0.007563974,0.001337197,0.00220422,0.004093744,0.001114429],"domain_scores_gemma":[0.9681783,0.02565639,0.000925098,0.003136612,0.001779599,0.0003239604],"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":[0.0000674635,0.00004525032,0.0004057155,0.0002021867,0.00003258503,0.0002953223,0.001925778,0.01102944,0.000922454,0.9588526,0.001976378,0.02424487],"study_design_scores_gemma":[0.00002345231,0.00004114231,0.0002243955,0.0001041129,0.0000665918,0.0002380608,0.0004075039,0.05725779,0.002143787,0.9257613,0.01368081,0.00005112519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009615632,0.002017393,0.974636,0.00293388,0.00008012961,0.0001659474,0.0002409214,0.0006758691,0.009634119],"genre_scores_gemma":[0.2061334,0.004863232,0.775047,0.002338885,0.000700446,0.0006482262,0.001306939,0.0007831168,0.008178764],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611543,"threshold_uncertainty_score":0.08522761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158008085999161,"score_gpt":0.3247805165416627,"score_spread":0.2932004356816711,"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."}}