WIM at TREC 2007

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WIM at TREC 2007
This paper introduced the four tracks that WIM-Lab Fudan University had taken part in at TREC 2007. For spam track, a multi-centre model was proposed considering the characteristics of spam mails in contrast of traditional 2-class classification methodology, and the incremental clustering and closeness-based classification methods were applied this year. For enterprise track, our research was mainly focused on ranking functions of experts and selecting correct supporting documents regarding to a given topic. For legal track, the effects of word distribution model in query expansion and various corpus pre-processing methods were mainly evaluated. For genomics track, three score methods were proposed to find the most relevant text snippets to a given topic. This paper gives an overview of the methods employed for each sub tasks, and compares the results of each track.
Jun Xu, Jing Yao, Jiaqian Zheng, Qi Sun, Junyu Niu
Added 07 Nov 2010
Updated 07 Nov 2010
Type Conference
Year 2007
Where TREC
Authors Jun Xu, Jing Yao, Jiaqian Zheng, Qi Sun, Junyu Niu
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