Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
In order to support the efficient development of NL generation systems, two orthogonal •methods are currently pursued with emphasis: (i) reusable, general, and linguistically•...
The next generation of online reference works will require structured representations of their contents in order to support scholarly functions such as semantic search, automated ...
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...