Semantic processing through distributed representation of Chinese words
| Autor: | Wenhui Wu, Zhiting Xiao, Yanni Wang, Xuan Guo, Yan Peng |
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| Rok vydání: | 2017 |
| Předmět: |
Context model
Artificial neural network business.industry Computer science Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Semantics computer.software_genre Semantic memory Language model Artificial intelligence Paragraph business computer Word (computer architecture) Natural language processing Sentence |
| Zdroj: | 2017 Chinese Automation Congress (CAC). |
| DOI: | 10.1109/cac.2017.8243141 |
| Popis: | In this paper, by learning the origin of the word distributed representation, knowing the distributed representation is one of the bridges of natural language processing mapping to mathematical calculations. Through the learning distributed representation model: neural network language model, CBOW model and Skip-gram model, the advantages and disadvantages of each model are clarified. Through the experiment, we can understand the mapping relationship between distributed representation calculation and natural language processing, and also clarify the research direction of the next step, that is, the use of distributed representation to sentence, paragraph, article modeling. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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