Analogical Reasoning on Chinese Morphological and Semantic Relations
May 12, 2018 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
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Authors
Shen Li, Zhe Zhao, Renfen Hu, Wensi Li, Tao Liu, Xiaoyong Du
arXiv ID
1805.06504
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
445
Venue
Annual Meeting of the Association for Computational Linguistics
Last Checked
3 months ago
Abstract
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.
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