Automatic interpretation of Nominal Compounds is a crucial issue for many applications, for example, sentence understanding, machine translation, question-answering system and so forth. Many automatic interpretation models of Nominal Compounds use the strategies based on verbs or rules to obtain the interpretation of compounds. However, the performances of these models are still limited. The purpose of this paper is to propose an effective approach for automatic interpretation of Chinese nominal compounds.
The authors propose a top-down and bottom-up model based on rules and large-scale corpus for automatic interpretation of Nominal Compounds.
Experimental results demonstrate that the proposed model outperforms the state-of-the-art automatic interpretation model.
The paper is an up-to-date study of automatic interpretation for Nominal Compounds. It can help people understand the meaning of Nominal Compounds in reading. With a better understanding of Nominal Compounds, we can discover more hidden knowledge in them.
This work is partially supported by projects 61272221, 61472191 under the National Natural Science Foundation of China, project 12YYA002 under Jiangsu Province Fund of Social Science, project 15KJA420001 under the Natural Science Research of Jiangsu Higher Education Institutions of China, project MJUKF201705 under Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) and project 211180A41601 under Open Project of Shandong Provincial Key Laboratory of Language Resource Development and Application.
Qu, W., Dai, R., Wu, T., Liu, J., Zhou, J., Gu, Y. and Xu, G. (2017), "An effective approach for automatic interpretation of Chinese nominal compounds", Information Discovery and Delivery, Vol. 45 No. 2, pp. 101-106. https://doi.org/10.1108/IDD-01-2017-0007
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