This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
This paper discusses findings of a frame-based contrastive text analysis, using the large-scale and precise descriptions of semantic frames provided by the FrameNet project (Baker...
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Abstract. We design a succinct full-text index based on the idea of Huffmancompressing the text and then applying the Burrows-Wheeler transform over it. The resulting structure can...