The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Abstract. Linguistic information can help improve evaluation of similarity between documents; however, the kind of linguistic information to be used depends on the task. In this pa...
This paper presents an FPGA-based implementation of a syntactic parser that can process languages generated by almost unrestricted real-life context-free grammars (CFGs). More prec...
Cristian Ciressan, Eduardo Sanchez, Martin Rajman,...
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...