%0 Conference Proceedings
%T A General Approach to Extracting Full Names and Abbreviations for Chinese Entities from the Web
%+ Key Laboratory of Intelligent Information Processing, Institute of Computing Technology [Beijing]
%+ Graduate University of Chinese [Beijing] (UCAS)
%A Jiang, Guang
%A Cungen, Cao
%A Yuefei, Sui
%A Lu, Han
%A Wang, Shi
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 6th IFIP TC 12 International Conference on Intelligent Information Processing (IIP)
%C Manchester, United Kingdom
%Y Zhongzhi Shi; Sunil Vadera; Agnar Aamodt; David Leake
%I Springer
%3 Intelligent Information Processing V
%V AICT-340
%P 271-280
%8 2010-10-13
%D 2010
%R 10.1007/978-3-642-16327-2_33
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X Identifying Full names/abbreviations for entities is a challenging problem in many applications, e.g. question answering and information retrieval. In this paper, we propose a general extraction method of extracting full names/abbreviations from Chinese Web corpora. For a given entity, we construct forward and backward query items and commit them to a search engine (e.g. Google), and utilize search results to extract full names and abbreviations for the entity. To verify the results, filtering and marking methods are used to sort all the results. Experiments show that our method achieves precision of 84.7% for abbreviations, and 77.0% for full names.
%G English
%2 https://inria.hal.science/hal-01060363/document
%2 https://inria.hal.science/hal-01060363/file/JiangCYLW10.pdf
%L hal-01060363
%U https://inria.hal.science/hal-01060363
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-340
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-IIP