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[eu_members at aclweb dot org] Information Processing & Management Journal: Special Issue on Question Answering -- CFP

 Call for papers
 Special Issue on Question Answering
 Information Processing & Management Journal
 Guest Editors
 Patrick Saint-Dizier, IRIT, France
 Marie-Francine Moens, Katholieke Universiteit Leuven, Belgium.
 Important dates
 Submissions of articles: April 1, 2009
 Notification to authors: June 20, 2009
 Final version of accepted papers: September 13, 2009
 Question answering regards a sophisticated form of information retrieval
 characterized by information needs that  are expressed as natural language
 statements or questions. In contrast to classical information retrieval
 where complete documents are considered relevant to the information need,
 in question answering specific pieces of information are returned as an
 answer. Often, automated reasoning is needed to identify correct answers.
 Hummm. it may be dangerous to say that. In fact, QA is rather a module on
 TOP of info retrieval (from its outputs) that has several capabilities: NL
 understanding, reasoning capabilities, response production techniques
 (summary, synthesis, cooperativity, etc.).
 Question answering has its roots decades ago when natural language
 interfaces to data or knowledge bases were researched. Today, such older
 technologies are blown in a new life, when we witness the growing power of
 e.g. searching multimedia data (e.g., images, video, text, audio) combined
 with natural language expressions, and making inferences over content
 recognized in text or the other media.
 In this special issue we would like to compose a collection of state of
 the art question answering papers which address the problem from different
 angles, but are united by the recent technologies for automatically
 recognizing content in the textual sources and the semi-automatic
 recognition in other media sources, and by the knowledge representation
 and reasoning paradigms used. Some more practical issues such as
 presentation of answers, scalability issues and indexing structures for
 question answering might also be addressed.
 We particularly welcome submissions on, but not limited to, the following
 Natural language processing for question analysis:
 - Question analysis, semantic role labeling
 - How to deal with complex questions
 Natural language processing for document analysis:
 - Information extraction, semantic role labeling, coreference
           resolution and content linking
 - Discourse analysis
 Multimedia processing:
 - Content recognition in images, video, audio and text
 - Recognition and resolution of spatial and temporal relationships
 - Applications of multimedia question answering
 Knowledge representations and reasoning strategies:
 - Formal content representations
 - Reasoning and matching strategies
 - Constraint processing and relaxation
 - Handling incompleteness and uncertainty
 - Probabilistic inferencing
 - Data fusion
 Speech interfaces and interactive question answering:
 - Improved user models through speech interaction
 - Dealing with noisy and uncertain question transcripts
 - Interaction design
 - Dialogue and question answering
 Text and multimedia answer generation:
  - Response production: summarization, fusion, co-operativity
 Data indexing structures and scalability
 Submissions for the special topic issue should be high-quality manuscripts
 on the theoretical, empirical and methodological issues surrounding
 question answering information retrieval. Submissions should describe
 original research and not be under consideration in any other forum.
 All submissions should be formatted according to the Information
 Processing & Management guidelines for papers, references, and citations
 and should be submitted using the Elsevier Editorial System for
 Information Processing and Management.
 To ensure that all manuscripts are correctly identified for inclusion into
 the special issue, it is important that authors select Special Issue:
 Question Answering when they reach the "Article Type" step in the
 submission process.
 Submitted articles will be reviewed according to the Information
 Processing & Management reviewing criteria and appropriateness to the
 special topic issue.
 Contact Patrick Saint-Dizier (stdizier at irit.fr) or Marie-Francine Moens
 (sien.moens at cs.kuleuven.be) for further information on the CFP. The
 program committee will be composed of experts who served on the program
 committees of the past and current KRAQ workshops.