While the public has increasingly access to medical information, specialized medical language is often difficult for lay people to understand and there is a need to bridge the gap ...
In this paper, we discuss how to utilize the co-occurrence of answers in building an automatic question answering system that answers a series of questions on a specific topic in ...
In this paper, we propose an approach for identifying curatable articles from a large document set. This system considers three parts of an article (title ract, MeSH terms, and ca...
GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...
In the current project, we aim at developing an approach for automatically answering why-questions. We created a data collection for research, development and evaluation of a meth...