{"id":"W1966216812","doi":"10.3115/1117755.1117757","title":"Adapting a synonym database to specific domains","year":2000,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pruning; WordNet; Computer science; Synonym (taxonomy); Domain (mathematical analysis); Lexical database; Information retrieval; Artificial intelligence; Natural language processing; Database; Mathematics","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":[0.004913048,0.0009862079,0.001696725,0.007651176,0.001628364,0.003648366,0.004240167,0.001300999,0.003111189],"category_scores_gemma":[0.01904428,0.001163344,0.001747892,0.004590322,0.0008658061,0.006007179,0.005067669,0.002147872,0.002237182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008443777,"about_ca_system_score_gemma":0.001656984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002197863,"about_ca_topic_score_gemma":0.004806241,"domain_scores_codex":[0.9931508,0.001888857,0.0008106443,0.001737604,0.002180172,0.0002318399],"domain_scores_gemma":[0.9881864,0.003475395,0.0004611189,0.004911127,0.002711624,0.0002542699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002884178,0.0003340808,0.005080897,0.0009596851,0.0004908017,0.00128994,0.002348964,0.01475848,0.05435321,0.03967835,0.02016539,0.8602518],"study_design_scores_gemma":[0.000186576,0.0003186555,0.005666534,0.0006500522,0.00073535,0.005657096,0.002928887,0.2973824,0.107107,0.1129174,0.4660462,0.0004037952],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01597416,0.0003999613,0.9731108,0.0002405522,0.0001054279,0.0003576644,0.0005995792,0.005583991,0.003627882],"genre_scores_gemma":[0.07020214,0.0004969098,0.9215037,0.0003007685,0.000053754,0.0003302578,0.003411442,0.001055633,0.002645361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007651176,"threshold_uncertainty_score":0.02598298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166520759332042,"score_gpt":0.2667677192926828,"score_spread":0.2501156433594786,"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."}}