Analogical Reasoning on Chinese Morphological and Semantic Relations
Analogical Reasoning on Chinese Morphological and Semantic Relations
复制标题
DOI：
10.18653/v1/p18-2023
复制
发表时间：
2018-05
期刊：
影响因子：
--
通讯作者：
Shen Li;Zhe Zhao;Renfen Hu;Wensi Li;Tao Liu;Xiaoyong Du
中科院分区：
文献类型：
--
作者：
Shen Li;Zhe Zhao;Renfen Hu;Wensi Li;Tao Liu;Xiaoyong Du
类比推理在捕捉语言规律方面是有效的。本文提出了一个汉语类比推理任务。通过对汉语词汇知识的深入研究，我们勾勒出68种隐式形态关系和28种显式语义关系。然后为这个任务构建一个大而平衡的数据集CA8，包括17813个问题。此外，我们系统地探讨了向量表示、上下文特征和语料库对类比推理的影响。通过实验证明，CA8是一个可靠的评价中文词嵌入的基准。
Analogical reasoning is effective in capturing linguistic regularities. This paper proposes an analogical reasoning task on Chinese. After delving into Chinese lexical knowledge, we sketch 68 implicit morphological relations and 28 explicit semantic relations. A big and balanced dataset CA8 is then built for this task, including 17813 questions. Furthermore, we systematically explore the influences of vector representations, context features, and corpora on analogical reasoning. With the experiments, CA8 is proved to be a reliable benchmark for evaluating Chinese word embeddings.