Neural Disambiguation of Causal Lexical Markers Based on Context
Neural Disambiguation of Causal Lexical Markers Based on Context
复制标题
DOI：
--
复制
发表时间：
2017-09
期刊：
影响因子：
--
通讯作者：
Eugenio Martínez-Cámara;Vered Shwartz;Iryna Gurevych;Ido Dagan
中科院分区：
文献类型：
--
作者：
Eugenio Martínez-Cámara;Vered Shwartz;Iryna Gurevych;Ido Dagan
我们提出了一种用于因果分类任务的神经网络架构。我们认为，句子意义的编码是消除其因果意义歧义所必需的。我们的结果表明，我们的主张是成立的，我们的表现超过了最先进的技术。
We propose a neural network architecture for the task of causality classification. We claim that the encoding of the meaning of a sentence is required for the disambiguation of its causal meaning. Our results show that our claim holds, and we outperform the state-of-the-art.