Cost-effective web search in bootstrapping for named entity recognition
作者： Hideki Kawai , Hironori Mizuguchi , Masaaki Tsuchida
DOI: 10.1007/978-3-540-78568-2_29
关键词: Computer science 、 Search engine 、 Web API 、 Bootstrapping (linguistics) 、 Semantic search 、 Web application 、 Search analytics 、 Named-entity recognition 、 Information retrieval 、 Web search query
摘要: In this paper, we propose a cost-effective search strategy framework to extract keywords in the same semantic class from Web. Constructing dictionary based on bootstrapping technique is one promising approach harnessing knowledge scattered around Open web application programming interfaces (APIs) are powerful tools for knowledge-gathering process. However, have consider cost of API calls because too many queries can overload engines, and they also limit number calls. Our goal optimize that collect as new words possible with least results show optimized 64,642 five different domains precision 0.94 only 1,000
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