Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in 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...
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Recently, there has been increasing interest in extending relational query processing to include data obtained from unstructured sources. A common approach is to use stand-alone I...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...