{"id":"W6939267819","doi":"10.60692/qqq44-5kg60","title":"Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Sentence; Inference; Pipeline (software); Word (group theory); ENCODE; Sentiment analysis; Exploit; Graph","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":[0.0004740196,0.0014978,0.0007439718,0.00187337,0.0004969731,0.000857046,0.0007587771,0.0007548929,0.003702506],"category_scores_gemma":[0.001732825,0.0003654113,0.001390489,0.001478221,0.000273806,0.002130513,0.001166336,0.001243393,0.00233189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005200008,"about_ca_system_score_gemma":0.0008061934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541508,"about_ca_topic_score_gemma":0.00582068,"domain_scores_codex":[0.999624,0.0000582534,0.00003468188,0.0001265441,0.0001089467,0.00004754681],"domain_scores_gemma":[0.9995679,0.00009903372,0.00006172505,0.00007271032,0.00017653,0.00002216685],"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":[0.0004269868,0.0002797939,0.006251583,0.0006150838,0.0002482148,0.00100702,0.0004248114,0.02243302,0.1083238,0.01484174,0.05317456,0.7919734],"study_design_scores_gemma":[0.00005581815,0.0001840945,0.006732448,0.00007243687,0.0001943598,0.0005952176,0.000314459,0.8652694,0.04876018,0.04516568,0.03257799,0.00007806462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05877155,0.0007330723,0.9083788,0.0007426772,0.0003224648,0.0004319366,0.006753778,0.01177944,0.01208632],"genre_scores_gemma":[0.4410622,0.0006404307,0.5235163,0.0004516865,0.0002238421,0.0003307749,0.02343362,0.0007286893,0.00961249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003702506,"threshold_uncertainty_score":0.01238608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266436371183479,"score_gpt":0.23647160005705,"score_spread":0.209827962938702,"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."}}