Editor for this issue: Lydia Grebenyova <lydia
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ACL-2001 Workshop on Open-Domain Question Answering - schedule 9:00 - 10:00 Welcome + overview 10:00 - 10:25 E. Breck. M. Light, G. Mann. E. Riloff, B. Brown, P. Anand, M. Rooth and M. Thelen "Looking under the Hood: Tools for Diagnosing your Question Answering Engine" 10:25 - 10:50 H. Kim, K. Kim, G.G. Lee and J. Seo "MAYA: A Fast Question-Answering System Based on a Predictive Answer Indexer" 10:50 - 11:15 Break 11:15 - 11:40 U. Hermjakob "Parsing and Question Classification for Question Answering" 11:40 - 12:05 G. S. Mann "A statistical method for short answer extraction" 12:05 - 12:30 R. Zajac "Towards Ontological Question Answering" 12:30 - 1:45 Lunch 1:45 - 2:10 M.Pasca and S.Harabagiu "Answer Mining from On-Line Documents" 2:10 - 2:35 O. Ferret, B. Grau, M. Hurault-Plantet, G. Illouz and C. Jacquemin "Terminological variants for document selection and question/answer matching" 2:35 - 3:30 A. Fujii and T. Ishikawa "Question answering using encyclopedic knowledge generated from the Web" 3:30 - 4:00 Break 4:00 - 5:00 Keynote Speech, John Prange, ADRA/AQUAINT program "Advanced Question and Answering:The Right Problem at the Right Time or a Bridge Too Far?" (see abstract below) 5:00 - 5:45 Panel, John Prange, Donna Harmann, Sanda Harabagiu, Yael Ravin "The Future of QA" "Advanced Question and Answering: The Right Problem at the Right Time or a Bridge Too Far?" Dr. John D. Prange Technical Director Advanced Research and Development Activity in Information Technology Fort George G. Meade, Maryland, USA ABSTRACT Over the past 50 years various fields within human language technologies and the information sciences have occasionally been presented with grand challenge problems that have generated enormous interest and enthusiasm. Almost without exception, researchers and technologists have embraced these challenges and have expended significant intellectual capital against the obstacles, quagmires, and barriers that these challenge problems have presented. If these obstacles, quagmires, and barriers were substantially overcome, a major breakthrough or advance typically occurred in the field. In turn these successes produced substantial new knowledge, insights, and understanding, and they can open the doors to previously unthought of opportunities and applications. But if the challenge proved to be too formidable then the field often suffered a major setback and an intellectual "winter" frequently ensued. In either case the field was forever changed. In essence the challenge problem becomes a watershed event. We believe that "Advanced Question and Answering" has the potential of being a watershed, Grand Challenge Problem for multiple fields; to include information retrieval, natural and statistically-based language processing, computational linguistics, knowledge acquisition and representation, machine learning, dialog, summarization, and natural language generation. In this talk we will describe our interpretation of "Advanced Question and Answering" as a Grand Challenge Problem. We will identify what we believe are the key elements and components of Advanced Question and Answering and what obstacles, quagmires, and barriers must be overcome if we are to collectively achieve substantial success against this Grand Challenge Problem. In particular we will specifically highlight and discuss the following: Multi-dimensionality of both Questions and Answers Role of Knowledge Role of Context Modeling/Profiling the User Overcoming the Data Chasm, to include: Highly heterogeneous data and information sources Data Volumes Missing Data Conflicting Data Understanding and Fusing Information across "documents" Simultaneously achieving Accuracy, Completeness, Usability, and Timeliness Role of component and system-level evaluation We will conclude by offering our answer to the question posed in the title of this talk: "Advanced Question and Answering: The Right Problem at the Right Time or a Bridge Too FarMail to author|Respond to list|Read more issues|LINGUIST home page|Top of issue