KRAQ 2008 : Knowledge and Reasoning for Answering Questions
Call For Papers
KRAQ08: Knowledge and Reasoning for Answering Questions
Manchester, UK, August 23, 2008
Held in conjunction with COLING-2008 the 22nd International Conference on Computational Linguistics
August 18-22, 2008
This workshop is the fourth of a successful series, it follows:
KRAQ05 (IJCAI 2005 Edinburgh, UK)
KRAQ06 (EACL 2006, Trento, Italy)
KRAQ07 (IJCAI 2007, Hyderabad, India).
Call for papers
Confronted with large information databases there is an urgent need for retrieving concise answers to your information need that possibly are fused from different sources. Question answering (QA) systems that intelligently and cooperatively respond to the userâ??s questions
posed in natural language aim at realizing this goal. Reasoning is here regarded as an important technology. Although quite advanced reasoning models are around for several decades in closed domain QA, it is only recently that open domain QA has recognized the potential of automated reasoning. Performance in the recent TREC-QA tracks show that
inferencing substantially improves the response relevance and accuracy. However, there is still a long way to go before we can consider our document repositories (such as World Wide Web) as a huge knowledge base with question answering technology acting as the ultimate expert system. However, recent foundational, methodological and technological developments in knowledge representation (e.g. ontologies developed in the context of the Semantic Web, knowledge bases incorporating various forms of incompleteness or uncertainty), in advanced reasoning forms (e.g. data fusion-integration, argumentation, decision theory, fuzzy logic, incomplete knowledge bases, probabilistic inferencing, etc.), in advanced language processing resources and techniques (for question processing, generating responses and textual inferencing), and recent progress in human language technology and formal pragmatics (user
models, intentions, etc.) help us progressing towards this goal.
There have been several QA workshops in the past. Some of them were oriented towards the processing of massive sources of data like the Web. A few concentrated on user profiling, on a specific application (medical, opinion) or on the processing of the questions. The KRAQ
series of workshops alternately organized at AI and NLP conferences address more fundamental problems of QA. More specifically its 2008 edition will investigate models where answers might be retrieved and fused from different types of data repositories (text, multimedia, web pages etc.) containing either open or closed domain content and they might be accompanied by explanations and arguments on how the system came to an answer.
We invite papers on any research topic related to question answering and reasoning. In this call we especially focus on:
â?¢ Reasoning aspects: information fusion-integration, summarization and intensional answers, detecting and resolving query failure, reasoning under uncertainty or with incomplete knowledge, probabilistic inference, models for explanation production and argumentation, levels of knowledge involved (e.g. ontologies, domain knowledge).
â?¢ Textual inference question decomposition into candidate inference components, information alignment, entity linking within and across documents, entailment and paraphrasing.
â?¢ Innovative applications: multimedia question answering, where you question a more or less formal representation of the media objects, spoken question answering (increasing uncertainty caused by the speech recognition), question answering of semistructured documents such as Wikipedia and legislation, XML question answering. We also welcome papers on more traditional QA topics such as:
â?¢ Question analysis and related knowledge representation, pragmatic and linguistic paradigms: procedural questions (how), causal questions (why), opinion questions, questions with a complex structure.
â?¢ Pragmatic dimensions of intelligently answering questions: user intentions, plans and goals recognition and production, conversational implicatures in responses, principles for the design of cooperative systems.
â?¢ Language processing: question processing: parameters of interest for response production, semantic role detection for QA, reasoning with lexical resources, response production (planning and argumentation), language generation (e.g. lexical choice, templates), explanation production (showing sources and inferences, reporting data incompleteness, etc.).
â?¢ Evaluation: end-to-end evaluation of complex question types, intrinsic evaluation of inference methods, data-intensive vs knowledge-intensive methods, evaluation of portability.
The goal of the KRAQ08 workshop is to enhance cooperation between participants with an AI background and members of the NLP and question-answering communities. The programme committee will take care of having a balanced number of papers from the different areas concerned.
We welcome short papers (max. 4 pages) describing projects or ongoing research and long papers (max. 8 pages), that include established results. Papers can be uploaded in pdf format at https://www.softconf.com/coling08/KRAQ08/submit.html. The format to use for papers and abstracts is the same as for Coling (http://www.coling2008.org.uk/).
All papers are blinded for review. The title page includes the following information:
â?¢ Topic(s) of the above list, as appropriate
â?¢ Abstract (short summary up to 5 lines).
â?¢ May 5, 2008: paper submissions
â?¢ June 6, 2008: acceptance/rejection notification
â?¢ July 1, 2008: final papers due, camera-ready manuscript sent for printing by organizers.
All accepted papers (long and short) will be published in the workshop proceedings. We are currently negotiating a special journal issue or book publication for the best long papers.
Patrick Saint-Dizier CNRS
IRIT Toulouse, France
Department of Computer Science
Katholieke Universiteit Leuven, Belgium
Leila Amgoud, IRIT CNRS, France,
Sivaji Badhyopadyay, Jadavpur University, Kolkata, India
Johan Bos, UniversitÃ di Roma, Italy
Gosse Bouma, University of Groningen, The Netherlands
Maarten de Rijke, University of Amsterdam, The Netherlands
Sanda Harabagiu, University of Dallas, USA
Jerry Hobbs, University of Southern California/ISI, USA
Kentaro Inui, NAIST, Nara, Japan
Asanee Kawtrakul, Kasetstart University, Bangkok, Thailand
Dietrich Klakow, UniversitÃ¤t des Saarlandes, Germany
Jochen L. Leidner, Thomson Corporation , USA
Anne-Laure Ligozat, LIMSI, France
Marie-Francine Moens, K.U.Leuven, Belgium (co-chair)
Matteo Negri, ITC-irst, Italy
Silvia Quarteroni, University of Trento, Italy
Patrick Saint-Dizier, IRIT-CNRS, France (co-chair).