In this paper, we propose a linear model-based general framework to combine k-best parse outputs from multiple parsers. The proposed framework leverages on the strengths of previo...
Recently system combination has been shown to be an effective way to improve translation quality over single machine translation systems. In this paper, we present a simple and ef...
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
In natural language processing, many methods have been proposed to solve the ambiguity problems. In this paper, we propose a technique to combine a method of interactive disambigu...
Abstract. A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapid...