We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
While traditional information extraction systems have been built to answer questions about facts, subjective information extraction systems will answer questions about feelings an...
This paper presents ongoing research in clinical information extraction. This work introduces a new genre of text which are not well-written, noise prone, ungrammatical and with m...
This study examines the feasibility of using channel statistics to perform embedded signature-based authentication. Doing so is an attempt to view a reference watermark embedded w...