{"id":"W4389519516","doi":"10.18653/v1/2023.emnlp-main.955","title":"Anaphor Assisted Document-Level Relation Extraction","year":2023,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Software Development Environment","keywords":"Computer science; Relationship extraction; Focus (optics); Graph; Natural language processing; Relation (database); Sentence; Artificial intelligence; Information retrieval; Information extraction; Theoretical computer science; Data mining","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":[0.001788058,0.002013589,0.001806813,0.007660776,0.001311908,0.00199493,0.002817343,0.002082712,0.003693472],"category_scores_gemma":[0.005030227,0.0005819183,0.002082908,0.007215637,0.00053453,0.005196502,0.002131542,0.002067869,0.00534153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008520636,"about_ca_system_score_gemma":0.002565939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005495077,"about_ca_topic_score_gemma":0.01186305,"domain_scores_codex":[0.9977633,0.000363131,0.0002456943,0.0007877972,0.0006580208,0.0001820459],"domain_scores_gemma":[0.9972652,0.0008778749,0.0002773191,0.0007703177,0.0007201066,0.00008921013],"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":[0.0002822906,0.0003849395,0.003374019,0.001019426,0.0002437541,0.0008781494,0.0004765079,0.01087569,0.03115668,0.01477199,0.08496808,0.8515685],"study_design_scores_gemma":[0.0001345473,0.0002036595,0.006931143,0.0001784548,0.0005556933,0.003446758,0.0005654501,0.7072521,0.07818367,0.04672992,0.1556033,0.0002153631],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02187853,0.006456753,0.928618,0.0007809807,0.0003043395,0.0005851133,0.01056231,0.0243742,0.006439778],"genre_scores_gemma":[0.1432334,0.00270304,0.7985255,0.0005309106,0.0003583421,0.0004415698,0.04157556,0.000680786,0.01195095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007660776,"threshold_uncertainty_score":0.01235586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08087274730028714,"score_gpt":0.3144574903102856,"score_spread":0.2335847430099985,"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."}}