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» Multiagent learning is not the answer. It is the question
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FLAIRS
2003
13 years 8 months ago
Lessons Learned using CBR for Customer Support
Three CBR systems were created to improve customer support at General Electric Appliances. The first tool helped call takers answer customers’ questions by using a case base of ...
William Cheetham
FLAIRS
2006
13 years 8 months ago
Natural Language Annotations for Question Answering
This paper presents strategies and lessons learned from the use of natural language annotations to facilitate question answering in the START information access system.
Boris Katz, Gary C. Borchardt, Sue Felshin
DGO
2004
110views Education» more  DGO 2004»
13 years 8 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto
ESWS
2005
Springer
14 years 28 days ago
AquaLog: An Ontology-Portable Question Answering System for the Semantic Web
As semantic markup becomes ubiquitous, it will become important to be able to ask queries and obtain answers, using natural language (NL) expressions, rather than the keyword-based...
Vanessa Lopez, Michele Pasin, Enrico Motta
EMNLP
2008
13 years 8 months ago
Selecting Sentences for Answering Complex Questions
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Yllias Chali, Shafiq R. Joty