Mongolian-Chinese Cross-Language Query Expansion Based on Cross-Language Word Vectors
| Autor: | Lujia Ma, Wen Lai, Xiaobing Zhao, Lili Guo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Information retrieval
Series (mathematics) Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Search engine indexing 02 engineering and technology Field (computer science) Data modeling 03 medical and health sciences Query expansion 0302 clinical medicine 030221 ophthalmology & optometry 0202 electrical engineering electronic engineering information engineering sort 020201 artificial intelligence & image processing Word (computer architecture) |
| Zdroj: | 2018 International Conference on Virtual Reality and Intelligent Systems (ICVRIS). |
| Popis: | Cross-Language information retrieval is supposed to make information retrieval of one language according to the queries of other languages, and it is a important branch of information retrieval. Recently, cross-language word vectors performs effectively on cross-language information retrieval, and more and more researchers get interested in this field. This paper takes use of cross-language word vectors to map Chinese query words to Mongolian query words, which will be used to perform information retrieval. Three methods were proposed in this paper to perform mapping, namely Series, Series_opt and Cross_valid. These methods are used to map the Chinses queries as well as to select and sort the mapped words. Experimental results conducted in the real environments show that our proposed algorithm can obtain improvement on Mongolian-Chinses cross-language information retrieval. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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