{"id":"W2505696146","doi":"10.1609/aaai.v30i1.9876","title":"What’s Hot in Human Language Technology: Highlights from NAACL HLT 2015","year":2016,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Data science; History","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":[0.01980411,0.0006323527,0.0009094488,0.005197439,0.002681571,0.01568819,0.001361677,0.004002026,0.005038441],"category_scores_gemma":[0.02973443,0.000541398,0.0005544389,0.009596406,0.004902476,0.01566472,0.00649238,0.005899709,0.002329153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006400372,"about_ca_system_score_gemma":0.005661436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01304847,"about_ca_topic_score_gemma":0.0256537,"domain_scores_codex":[0.9897133,0.002930907,0.001067097,0.001222464,0.004064208,0.001002129],"domain_scores_gemma":[0.968739,0.0172014,0.001576399,0.001072582,0.007390786,0.004019822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005042793,0.0001787103,0.005043278,0.002971135,0.00004685668,0.0003958016,0.00563916,0.0006749187,0.002490722,0.03294095,0.6320133,0.3171009],"study_design_scores_gemma":[0.00003543971,0.0001131416,0.01026761,0.001703059,0.00002930105,0.0004262837,0.006116621,0.0006672562,0.001960419,0.01646864,0.9621072,0.0001050166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01748221,0.277438,0.01045746,0.6193146,0.0233464,0.00009634137,0.004192922,0.001270836,0.04640124],"genre_scores_gemma":[0.346717,0.3366831,0.02638079,0.1805556,0.04818173,0.0004788465,0.01852319,0.002457485,0.04002216],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01980411,"threshold_uncertainty_score":0.1047354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960148424311746,"score_gpt":0.3154644048457776,"score_spread":0.2758629206026602,"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."}}