{"id":"W2963897632","doi":"10.18653/v1/n18-2047","title":"Strong Baselines for Simple Question Answering over Knowledge Graphs with and without Neural Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Question answering; Computer science; Simple (philosophy); Artificial neural network; Computational linguistics; Knowledge graph; Artificial intelligence; Volume (thermodynamics); Natural language processing; Data science; Epistemology; Philosophy","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":[0.008766359,0.002819095,0.00251534,0.004435704,0.002146148,0.003586868,0.005063108,0.005725367,0.01325028],"category_scores_gemma":[0.03040156,0.0007850335,0.002005089,0.003023889,0.001299983,0.01295043,0.004659737,0.004279966,0.006810495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003158674,"about_ca_system_score_gemma":0.002095639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01630655,"about_ca_topic_score_gemma":0.03100836,"domain_scores_codex":[0.9935367,0.002248089,0.0003184694,0.002022418,0.001175042,0.0006992496],"domain_scores_gemma":[0.9858105,0.008699181,0.0003513815,0.002994052,0.001608147,0.0005368544],"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":[0.005835781,0.001951165,0.004709696,0.002013695,0.001146686,0.0003038607,0.0003789318,0.1186396,0.006315636,0.0292673,0.2125391,0.6168986],"study_design_scores_gemma":[0.0003400236,0.0003251516,0.001925895,0.0001115428,0.0002871712,0.000113981,0.0001570748,0.8899264,0.003446371,0.09014219,0.01316893,0.00005536945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2427656,0.05669806,0.5274178,0.01112961,0.005805032,0.001516649,0.03972116,0.05477361,0.06017258],"genre_scores_gemma":[0.7555554,0.002811651,0.1672992,0.001775856,0.001645684,0.0005646618,0.05210967,0.001515853,0.01672212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01630655,"threshold_uncertainty_score":0.04636145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208872134532426,"score_gpt":0.289277703480547,"score_spread":0.2671889821352228,"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."}}