With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for a...
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...
To reduce the effort spent on system comprehension during software maintenance, easy access to different type of information describing the system features is necessary. This is u...
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...