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| 基于量词的名词概念获取研究 | |
| 引用本文： | 王 萌,俞士汶.基于量词的名词概念获取研究[J].中文信息学报,2014,28(5):60-65. |
| 作者姓名： | 王 萌 俞士汶 |
| 作者单位： | 1. 江南大学 人文学院,江苏 无锡 214122; 2. 北京大学 计算语言学教育部重点实验室,北京 100871 |
| 基金项目： | 国家自然科学基金(No.61300152) |
| 摘 要： | 概念获取是自然语言理解领域中重要的研究课题。该文提出了一种基于汉语量词的名词概念描述方法,设计并实现了一个权重计算方案。通过聚类实验探索了量词对名词语义区分的作用和贡献,实验结果表明基于量词的名词概念表达方式是有效的,可以区分大部分名词概念。 |
| 关 键 词： | 概念获取 量名搭配 量词 聚类 |
Concept Acquisition Based on Chinese Classifier Words |
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| WANG Meng,YU Shiwen.Concept Acquisition Based on Chinese Classifier Words[J].Journal of Chinese Information Processing,2014,28(5):60-65. | |
| Authors: | WANG Meng YU Shiwen |
| Affiliation: | 1. School of Humanity, Jiangnan University , Wuxi, Jiangsu 214122, China; 2. Key Laboratory of Computational Linguistics, Peking University, Beijing 100871, China |
| Abstract: | Concept acquisition from corpora has become increasingly important in NLP. This paper presents a new concept representation based on classifier words. Concepts are modeled as vectors with one component corresponding to each classifier word. We propose a weighting scheme that assigns each classifier word a weight in a concept. Then we conduct experiments to identify concept similarities via clustering, and the results show classifier words can categorize most concept classes. |
| Keywords: | Concept acquisition classifier-noun collocation classifier words cluster |
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