BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Named entity extraction based on a maximum entropy model and transformation rules
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Linear-time dependency analysis for Japanese
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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Searching information on the Web is now one of the important acts in dairy work because we can obtain several types of information from the Web. For example, we use web search engines to obtain information related to proper nouns, such as famous persons, shops, restaurants, sightseeing places and so on. However, we often obtain irrelevant information with what we want to obtain because most web search engines just return web pages including a posted query. This paper describes a web search engine interface for users finding proper nouns and their relevant information. Our interface selects proper nouns related to a query from a search result with Natural Language Processing technologies. Our interface provides users the following information in addition to original search result: 1) Lists of proper nouns related to a posted query. 2) Links to each proper noun to results includi ng the proper noun. 3) Links for searching new information by using proper nouns as a new query. The experimental results with four subjects have shown that our interface contributes to find target proper nouns.