{"id":"W4293863311","doi":"10.1109/siu55565.2022.9864851","title":"Automatic Keyword Extraction From Dialogue Text","year":2022,"lang":"en","type":"article","venue":"2022 30th Signal Processing and Communications Applications Conference (SIU)","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Computer science; Keyword extraction; Dialog box; Recall; Word (group theory); Natural language processing; Precision and recall; Information retrieval; Process (computing); Artificial intelligence; Customer service; Service (business); World Wide Web; Linguistics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004192215,0.0002233861,0.0002686996,0.0002669774,0.002457717,0.0004226314,0.002958278,0.00006150726,0.0002172152],"category_scores_gemma":[0.00001716022,0.000250476,0.00006895451,0.00137969,0.0002413086,0.0007729575,0.001670253,0.0006331018,0.00002805615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375837,"about_ca_system_score_gemma":0.0002821216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219067,"about_ca_topic_score_gemma":0.00006246403,"domain_scores_codex":[0.9979523,0.0002779721,0.0004993174,0.0006100031,0.0003957317,0.0002646894],"domain_scores_gemma":[0.9967365,0.0003260294,0.0004247856,0.002169278,0.0002287858,0.0001146765],"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":[0.000002179513,0.0002339043,0.0001641435,0.00001202672,0.00002236796,6.145645e-7,0.0007430832,0.00006753662,0.00378089,0.05673623,0.0002778778,0.9379591],"study_design_scores_gemma":[0.000241289,0.00006739349,0.0009868108,0.00003500596,0.00007608043,0.00002269397,0.001133808,0.7714795,0.000607021,0.1344786,0.09034202,0.000529857],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00165363,0.00246305,0.9878473,0.003484651,0.00001667716,0.0004794145,0.00003255653,0.0007819572,0.003240776],"genre_scores_gemma":[0.8383064,0.0004361673,0.1577464,0.0002512427,0.00002509309,0.002806944,0.0001976575,0.00001763057,0.0002125086],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9374293,"threshold_uncertainty_score":0.9999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983636651314105,"score_gpt":0.3031218038835432,"score_spread":0.2732854373704022,"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."}}