Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
We consider the problem of efficiently computing weighted proximity best-joins over multiple lists, with applications in information retrieval and extraction. We are given a multi-...
AnHai Doan, Haixun Wang, Hao He, Jun Yang 0001, Ri...
Finding a proper distribution of translation probabilities is one of the most important factors impacting the effectiveness of a crosslanguage information retrieval system. In th...
Abstract. Just-In-Time Information Retrieval agents proactively retrieve information based on queries that are implicit in, and formulated from, the user's current context, su...