In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
We describe a method for generating sentences from "keywords" or "headwords". This method consists of two main parts, candidate-text construction and evaluatio...
In some contexts, well-formed natural language cannot be expected as input to information or communication systems. In these contexts, the use of grammar-independent input (sequen...
Natural languageprocessingNLP programsare confronted with various di culties in processing HTML and XML documents, and have the potential to produce better results if linguistic i...
Hideo Watanabe, Katashi Nagao, Michael C. McCord, ...
In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural mo...