Publikation

A Multilingual Information Retrieval Model based on Information Extraction and Text Generation

Tianfang Yao, Feiyu Xu, Dong-Mo Zhang, Qian Wang, Huan-Ye Sheng, Fang Li

In: Proceedings of ICIP 2001. IEEE International Conference on Image Processing (ICIP) 2001.

Abstrakt

This paper proposes a multilingual information retrieval model which is principally based on information extraction and text generation techniques. The model embodies both the conciseness and accuracy of the retrieval results provided by information extraction technique, and the coherence and standardization of ones supplied by text generation technique. It synthesizes the advantages of both techniques. In this paper, we mainly present the information extraction techniques adopted in the model, including multilingual information extraction, concept based multilingual thesaurus, template automatic development, multilingual information retrieval and index etc. We build the model for providing the multilingual information retrieval means on Internet, which is accurate, quick and convenient and is used in a specific domain. Key words multilingual information retrieval, multilingual information extraction, concept based multilingual thesaurus, template automatic development, multilingual information retrieval and index.

YaoXu2001.pdf (pdf, 356 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence