Adaptive Text Extraction and Mining
Papers from the AAAI Workshop
Ion Muslea, Program Chair
The amount of information that is available in the form of unstructured and semistructured documents keeps increasing at an unprecedented rate. Even though these terabytes of text contain invaluable information for virtually every domain of activity, the existing tools for accessing and exploiting this data fall short of users’ needs, thus preventing the effective use of these rich information sources. Recent years have brought significant interest and progress in developing techniques forthe automatic text extraction and mining (ATEM). ATEM is an extremely active area of research that lies at the intersection of diverse fields such as information extraction, text mining, machine learning, data mining, link analysis, information retrieval, natural language processing, and information integration. The purpose of this workshop was to stimulate the free exchange of ideas among researchers and practitioners from these communities, so that they can discuss and debate recent results and open problems.