{"id":"W3149495681","doi":"10.18280/isi.260112","title":"Extractive Text Summarization Using Recent Approaches: A Survey","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Information retrieval; Text graph; Multi-document summarization; Process (computing); Representation (politics); Natural language processing; Artificial intelligence; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002660255,0.002722197,0.002242575,0.009750643,0.0009051075,0.002910605,0.002344042,0.001287174,0.00366862],"category_scores_gemma":[0.009844849,0.0008512106,0.002190964,0.01245825,0.0009376897,0.005267694,0.001228059,0.001483008,0.003354134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007197994,"about_ca_system_score_gemma":0.001364659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008402,"about_ca_topic_score_gemma":0.001583687,"domain_scores_codex":[0.9961594,0.0007874112,0.0006228971,0.0009544255,0.001363697,0.0001120528],"domain_scores_gemma":[0.9913688,0.004651628,0.0008438166,0.0007569168,0.002231308,0.0001474406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007761697,0.00009625837,0.0004762879,0.005250427,0.0001547908,0.00008974963,0.0003769761,0.002324208,0.004807151,0.003129962,0.009928327,0.9732881],"study_design_scores_gemma":[0.000164173,0.001546533,0.01042028,0.004246626,0.00196185,0.00348514,0.00291254,0.07991147,0.05532223,0.0353428,0.8042451,0.0004413264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01035329,0.440272,0.5295012,0.001787439,0.001264967,0.0007057584,0.001284481,0.004349045,0.01048185],"genre_scores_gemma":[0.0693597,0.4616123,0.4450122,0.001211704,0.00470435,0.0009052011,0.006329567,0.001065678,0.009799169],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009750643,"threshold_uncertainty_score":0.01406896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06615902636918873,"score_gpt":0.2793440184360165,"score_spread":0.2131849920668278,"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."}}