Ever increasing size of the biomedical literature makes tapping into implicit knowledge in scientific literature a necessity for knowledge discovery. In this paper, a semantic par...
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
— As person names are non-unique, the same name on different Web pages might or might not refer to the same real-world person. This entity identification problem is one of the m...
In this paper, we want to show which difficulties arise when automatically constructing a domain-independent knowledge base from the web. We show possible applications for such a k...
We consider the problem of entity tagging: given one or more named entities from a specific domain, the goal is to automatically associate descriptive phrases, referred to as eta...
Kaushik Chakrabarti, Surajit Chaudhuri, Tao Cheng,...