12.1241, Confs: Open-Domain Question Answering/ ACL-2001
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LINGUIST List: Vol-12-1241. Fri May 4 2001. ISSN: 1068-4875.
Subject: 12.1241, Confs: Open-Domain Question Answering/ ACL-2001
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Date: Thu, 3 May 2001 18:28:28 EDT
From: Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject: ACL-2001 Workshop on Open-Domain Question Answering
-------------------------------- Message 1 -------------------------------
Date: Thu, 3 May 2001 18:28:28 EDT
From: Priscilla Rasmussen <rasmusse at cs.rutgers.edu>
Subject: ACL-2001 Workshop on Open-Domain Question Answering
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 Far
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