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IPM-QA 2009 : IP&M Special Issue on Question Answering


When N/A
Where N/A
Submission Deadline Apr 1, 2009
Notification Due Jun 20, 2009
Final Version Due Sep 13, 2009
Categories    NLP   information retrieval

Call For Papers

First 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.

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,
for instance, searching multimedia data (i.e., images, video, text, audio)
combined with natural language expressions, and making inferences over
content recognized in text or in 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 or 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 for question answering:
- 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
- Textual inference
- Handling incompleteness and uncertainty
- Probabilistic inference
- 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
instructions) 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

Submitted articles will be reviewed according to the Information Processing
& Management reviewing criteria and appropriateness to the special topic

Contact Patrick Saint-Dizier (stdizier at or Marie-Francine Moens
(sien.moens at 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.

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