Guohua Lei

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HIT2 Lab participated in NTCIR 7 IR4QA task. In this task many topics consist of name entities, so Google translation was used to translate query terms because of its high performance on name entity translation. We use KL-divergence model to perform retrieval and Chinese character bigram as our indexing unit. Pseudo feedback was used trying to improve(More)
This is the first time HIT 2 Lab has participated in CLEF. The Adhoc TEL task used a collection of electronic card catalog records from British Library, it is different from all the text retrieval tasks we've ever involved. In our runs, we used language modeling approach for retrieval model and incorporated pseudo-feedback, which have been proved effective(More)
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