Introduction In order to keep up with the enormous pace of data being produced on the web, we need automatic methods for converting it into a more structured form for analyzing and querying. For text data this amounts to generating labels which describe the underlying semantic concept and is known as Information Extraction (IE). Examples

Miguel Rodriguez The amount of information available on the web has motivated a number of efforts in creating large-scale knowledge bases (KBs), each with their own methods of automatically extracting relevant information from unstructured text. Despite sharing the same data model, each project is unique, displaying their own strengths and weaknesses related to the size