全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:... James A. Thom , Anne-Marie Vercoustre , Vladimir Naumovski
来源:[J].Information Retrieval(IF 0.63), 2010, Vol.13 (5), pp.568-600Springer
摘要:Abstract(#br)Entity ranking has recently emerged as a research field that aims at retrieving entities as answers to a query. Unlike entity extraction where the goal is to tag names of entities in documents, entity ranking is primarily focused on returning a ranked list of relevan...
作者:Jovan Pehcevski , James A. Thom , Anne-Marie Vercoustre
来源:[J].Information Retrieval(IF 0.63), 2005, Vol.8 (4), pp.571-600Springer
摘要:Abstract(#br)This paper investigates the impact of three approaches to XML retrieval: using Zettair, a full-text information retrieval system; using eXist, a native XML database; and using a hybrid system that takes full article answers from Zettair and uses eXist to extract...
作者:... Mike Stapleton , Dale Sutcliffe , Anne-Marie Vercoustre
来源:[J].Computer Networks and ISDN Systems, 1998, Vol.30 (13), pp.1185-1200Elsevier
摘要:Abstract(#br)Aquarelle is a three-year project supported by the Telematics Applications Programme of the European Union, aiming at designing a resource discovery system on the Internet, applied to cultural heritage documentation. The system relies on the Z39.50 protocol to suppor...
作者:Anne-Marie Vercoustre , James A. Thom , Jovan Pehcevski
来源:[C].Applied computing2008ACM
摘要:The traditional entity extraction problem lies in the ability of extracting named entities from plain text using natural language processing techniques and intensive training from large document collections. Examples of named entities include organisations, people, locations, or ...

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