基于课程学习的跨度级方面情感三元组提取

侯明泽,饶蕾,范光宇,陈年生,程松林

Span-level aspect sentiment triplet extraction based on curriculum learning

Mingze HOU,Lei RAO,Guangyu FAN,Niansheng CHEN,Songlin CHENG

表 6 不同模型的方面情感三元组提取任务结果对比

Tab.6 Comparison of aspect sentiment triplet extraction task results from different models

% 模型 类型 14LAP 14RES 15RES 16RES P R F1 P R F1 P R F1 P R F1 GAS[15] T5 — — 60.78 — — 72.16 — — 62.10 — — 70.10 BARTABSA[14] BART 61.41 56.19 58.69 65.52 64.99 65.25 59.14 59.38 59.26 66.60 68.68 67.62 JET[15] BERT 55.39 47.33 51.04 70.56 55.94 62.40 64.45 51.96 57.53 70.42 58.37 63.83 B-MRC[18] BERT 65.12 54.41 59.27 71.32 70.09 70.69 63.71 58.63 61.05 67.74 68.56 68.13 Dual-MRC[19] BERT 57.39 53.88 55.58 71.55 69.14 70.32 63.78 51.87 57.21 68.60 66.24 67.40 GTS[29] BERT 57.52 51.92 54.58 70.92 69.49 70.20 59.29 58.07 58.67 68.58 66.60 67.58 Span-ASTE[18] BERT 63.44 55.84 59.38 72.89 70.89 71.85 62.18 64.45 63.27 69.45 71.17 70.26 本研究 BERT 62.83 56.43 59.56 72.68 71.26 71.96 62.97 63.61 63.29 69.75 71.04 70.39 本研究（CL） BERT 64.32 57.34 60.63 73.10 71.34 72.21 63.57 64.53 64.05 69.98 71.53 70.75 本研究 RoBERTa 65.87 56.17 60.64 74.49 72.31 73.38 63.12 64.37 63.74 70.81 72.36 71.58 本研究（CL） RoBERTa 67.49 58.63 62.75 75.36 72.52 73.91 64.17 64.76 64.46 71.88 72.74 72.31