Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
State-of-the-art discovery of Semantic Web services is based on hybrid algorithms that combine semantic and syntactic matchmaking. These approaches are purely based on similarity m...
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
We present a variant of PageRank, WLRank, that considers different Web page attributes to give more weight to some links, improving the precision of the answers. Categories and Su...
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...