基于知识迁移的情感-原因对抽取(Emotion-Cause Pair Extraction Based on Knowledge-Transfer)
Fengyuan Zhao (赵凤园), Dexi Liu (刘德喜), Qizhi Wan (万齐智), Changxuan Wan (万常选), Xiping Liu (刘喜平), Guoqiong Liao (廖国琼)
Abstract
“现有的情感瘭原因对抽取模型均没有通过加入外部知识来提升情感瘭原因对的抽取效果。本文提出基于知识迁移的情感瘭原因对抽取模型瘨癅癃癐癅瘭癋癔瘩,采用知识库获取文本的显性知识编码;随后引入外部情感分类语料库迁移得到子句的隐性知识编码;最后拼接两个知识编码,加入情感瘨原因瘩子句预测概率及相对位置,搭配癔癲癡癮癳癦癯癲癭癥癲机制融合上下文,并采用窗口机制优化计算压力,实现情感瘭原因对抽取。在癅癃癐癅数据集上的实验结果显示,本文提出的方法超过当前最先进的模型癅癃癐癅瘭瘲癄。”- Anthology ID:
- 2022.ccl-1.45
- Volume:
- Proceedings of the 21st Chinese National Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Nanchang, China
- Venue:
- CCL
- SIG:
- Publisher:
- Chinese Information Processing Society of China
- Note:
- Pages:
- 497–509
- Language:
- Chinese
- URL:
- https://aclanthology.org/2022.ccl-1.45
- DOI:
- Cite (ACL):
- Fengyuan Zhao, Dexi Liu, Qizhi Wan, Changxuan Wan, Xiping Liu, and Guoqiong Liao. 2022. 基于知识迁移的情感-原因对抽取(Emotion-Cause Pair Extraction Based on Knowledge-Transfer). In Proceedings of the 21st Chinese National Conference on Computational Linguistics, pages 497–509, Nanchang, China. Chinese Information Processing Society of China.
- Cite (Informal):
- 基于知识迁移的情感-原因对抽取(Emotion-Cause Pair Extraction Based on Knowledge-Transfer) (Zhao et al., CCL 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.ccl-1.45.pdf