Paper link: https://arxiv.org/pdf/1906.01213v1.pdf
Code link:
Source: 2019 ACL
Author: Jasminexjf
Time: 2019-06-25
这是一篇来自于 ACL 2019 的论文「Context-aware Embedding for Targeted Aspect-based Sentiment Analysis」巧用文本语境信息:基于上下文感知的向量优化,该论文主要提出了一种作用在细粒度情感分析的上下文感知目标和方面向量优化方法。实验结果表明,该向量优化方法可以直接和现有的基于神经网络的目标-方面级别情感分析模型相结合,并取得更好的效果。未来,研究者尝试将向量优化方法应用到其他自然语言处理任务中,并进一步改善方法的有效性和通用性。
Aspect-based sentiment analysis(ABSA) is a basic subtask of Target Aspect-based sentiment analysis(TABSA)
1. Abstract:
Attention-based neural models were employed to detect the different aspects and sentiment polarities of the same target in targeted aspectbased sentiment analysis (TABSA). However, existing methods do no