{"id":"W4298110867","doi":"10.1111/1911-3846.12832","title":"<scp>FinBERT</scp>: A Large Language Model for Extracting Information from Financial Text*","year":2022,"lang":"en","type":"article","venue":"Contemporary Accounting Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":648,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Finance; Encoder; Natural language processing; Sample (material); Salient; Earnings; Random forest; Language model; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2136271072296654,"score_gpt":0.458767453549553,"score_spread":0.2451403463198876,"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."}}