SSTdL 2013 - Special Session on Text Data Learning

Tremendous efforts have been devoted to developing and applying different machine learning technologies to natural language text data, greatly expanding the fields of information retrieval and natural language processing, creating new areas of research. However, many challenges remain, such as:
how we can successfully process different natural language related tasks with machine learning: ranking documents, classifying text, clustering, summarizing, analyzing, extracting information, and so on?
how we can circumvent the barrier of lacking enough annotated data, despite the vast quantities of unannotated data?
how we can adapt machine learning solutions across domains, genres, and languages?
how we can make full use of the characteristics of text data in building machine learning based solutions?
how we can create text learning systems to process Big Data in distributed and parallel environments?
This special session within IDEAL2013 on text data learning will provide a forum for researchers and practitioners interested in information retrieval and natural language processing to exchange and report their latest findings in applying machine learning to understanding and mining natural language text data.
For more information, see the special session web site http://www.scss.tcd.ie/IDEAL2013-TDL/