A general strategy for researches on Chinese '的(de)' structure based on neural network
| Autor: | Weiguang Qu, Ge Xu, Yanhui Gu, Junsheng Zhou, Bin Li, Rubing Dai, Xiaohui Yan, Bingqing Shi |
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| Rok vydání: | 2020 |
| Předmět: |
Structure (mathematical logic)
Computer Networks and Communications Computer science business.industry Verb 02 engineering and technology computer.software_genre Syntax Noun phrase Focus (linguistics) Hardware and Architecture 020204 information systems 0202 electrical engineering electronic engineering information engineering Conceptual system 020201 artificial intelligence & image processing Artificial intelligence Complement (linguistics) business computer Software Natural language processing Sentence |
| Zdroj: | World Wide Web. 23:2979-3000 |
| ISSN: | 1573-1413 1386-145X |
| DOI: | 10.1007/s11280-020-00809-8 |
| Popis: | Noun phrases reflect people’s understanding of the world entities and play an important role in people’s language system, conceptual system and application system. With the Chinese “的(de)” structure, attributive noun phrases of the combined type can accommodate more words and syntactic structures, resulting in rich levels and complex semantic structures in Chinese sentences. Moreover, the Chinese elliptical “的(de)” structure is also of vital importance to the overall semantic understanding of the sentence. Many researches focus on rule-based models and semantic complement of “verb+的(de)” structure. To tackle these issues, we propose a general three-stage strategy utilizing neural network for the researches on all “的(de)” structure. Experimental results demonstrate that the proposed strategy is effective in boundary definition, elliptical recognition and semantic complement of “的(de)” structure. |
| Databáze: | OpenAIRE |
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