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  • × author_ss:"Chien, L.-F."
  • × year_i:[2000 TO 2010}
  1. Wang, J.-H.; Teng, J.-W.; Lu, W.-H.; Chien, L.-F.: Exploiting the Web as the multilingual corpus for unknown query translation (2006) 0.00 
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    Abstract
    Users' cross-lingual queries to a digital library system might be short and the query terms may not be included in a common translation dictionary (unknown terms). In this article, the authors investigate the feasibility of exploiting the Web as the multilingual corpus source to translate unknown query terms for cross-language information retrieval in digital libraries. They propose a Webbased term translation approach to determine effective translations for unknown query terms by mining bilingual search-result pages obtained from a real Web search engine. This approach can enhance the construction of a domain-specific bilingual lexicon and bring multilingual support to a digital library that only has monolingual document collections. Very promising results have been obtained in generating effective translation equivalents for many unknown terms, including proper nouns, technical terms, and Web query terms, and in assisting bilingual lexicon construction for a real digital library system.
    Footnote
    Beitrag einer special topic section on multilingual information systems
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.660-670
  2. Huang, C.-K.; Chien, L.-F.; Oyang, Y.-J.: Relevant term suggestion in interactive Web search based on contextual information in query session logs (2003) 0.00 
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    Abstract
    This paper proposes an effective term suggestion approach to interactive Web search. Conventional approaches to making term suggestions involve extracting co-occurring keyterms from highly ranked retrieved documents. Such approaches must deal with term extraction difficulties and interference from irrelevant documents, and, more importantly, have difficulty extracting terms that are conceptually related but do not frequently co-occur in documents. In this paper, we present a new, effective log-based approach to relevant term extraction and term suggestion. Using this approach, the relevant terms suggested for a user query are those that cooccur in similar query sessions from search engine logs, rather than in the retrieved documents. In addition, the suggested terms in each interactive search step can be organized according to its relevance to the entire query session, rather than to the most recent single query as in conventional approaches. The proposed approach was tested using a proxy server log containing about two million query transactions submitted to search engines in Taiwan. The obtained experimental results show that the proposed approach can provide organized and highly relevant terms, and can exploit the contextual information in a user's query session to make more effective suggestions.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.7, S.638-649
  3. Hung, C.-M.; Chien, L.-F.: Web-based text classification in the absence of manually labeled training documents (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.1, S.88-96

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