: This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based...
This paper describes and evaluates MOP, an IE system for automatic extraction of metalinguistic information from technical and scientific documents. We claim that such a system ca...
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTR...
George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Loi...
Abstract. We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by...