Yi-Xuan Liu

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This paper presents a novel, ranking-style word segmentation approach, called RSVM-Seg, which is well tailored to Chinese information retrieval(CIR). This strategy makes seg-mentation decision based on the ranking of the internal associative strength between each pair of adjacent characters of the sentence. On the training corpus composed of query items, a(More)
We present a statistical method called Covering Topic Score (CTS) to predict query performance for information retrieval. Estimation is based on how well the topic of a user's query is covered by documents retrieved from a certain retrieval system. Our approach is conceptually simple and intuitive, and can be easily extended to incorporate features beyond(More)
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