The use of topical features is abundant in Natural Language Processing (NLP), a major example being in dictionary-based Word Sense Disambiguation (WSD). Yet previous research does...
Natural language processing technology has developed remarkably, but it is still difficult for computers to understand contextual meanings as humans do. The purpose of our work ha...
As huge quantities of documents have become available, services using natural language processing technologies trained by huge corpora have emerged, such as information retrieval ...
Coreference analysis, also known as record linkage or identity uncertainty, is a difficult and important problem in natural language processing, databases, citation matching and m...
This paper presents work in progress to explore the possibility of combining model-driven and domain modeling techniques to facilitate support for reuse and automation. The approa...