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Abstract: An important function of an agent is to be "on the lookout" for bits of information that are interesting to its user, even if these items appear in the midst of a larger body of unstructured information. But how to tell these agents which patterns are meaningful and what to do with the result? Especially when agents are used to recognize text, they are usually driven by parsers which require input in the form of textual grammar rules. Editing grammars is difficult and errorprone for end users.... (Update)
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...either based on content analysis or based on a collaborative approach. Examples of content based systems include WebWatcher and Letizia [6, 44]. Mladenic provides a comprehensive survey and overview of systems using text learning and classification as well as some systems using...
.... (b) when the user wants this action performed within a certain task model; for example, graphical editor layout [12] or text recognition [13]. The approach taken here differs significantly in that fish are trained as social proxies and do not perform detailed, direct control,...
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BibTeX entry: (Update)
Lieberman, H.; Nardi, B.; and Wright, D. 1999. Training Agents to Recognize Text by Example. In Etzioni, O., and Muller, J., eds., Proceedings of the 1999 International Conference on Autonomous Agents (Agents'99), 116--122. http://citeseer.comp.nus.edu.sg/176541.html More
@misc{ lieberman99training,
author = "H. Lieberman and B. Nardi and D. Wright",
title = "Training Agents to Recognize Text by Example",
text = "Lieberman, H.; Nardi, B.; and Wright, D. 1999. Training Agents to Recognize
Text by Example. In Etzioni, O., and Muller, J., eds., Proceedings of the
1999 International Conference on Autonomous Agents (Agents'99), 116--122.",
year = "1999",
url = "citeseer.comp.nus.edu.sg/176541.html" }
Citations (may not include all citations):175 Watch What I Do: Programming by Demonstration (context) - Cypher - 1993
125 Information Extraction - Cowie, Lehnert - 1996
52 A Small Matter of Programming Perspectives on End User Compu.. (context) - Nardi - 1993
27 Integrating User Interface Agents with Conventional Applicat.. - Lieberman - 1998
19 Instructible Agents (context) - David - 1994
12 Tinker: A Programming by Demonstration System for Beginning .. (context) - Lieberman
9 Programmable Intelligent Agents (context) - Nardi, Miller et al. - 1998
9 The selection recognition agent: Instant access to relevant .. (context) - Pandit, Kalbag - 1997
7 Tourmaline: Text Formatting by Demonstration (context) - Myers
5 Machine Learning and Grammar Induction (context) - Langley - 1987
2 From Documents to Objects: An Overview of LiveDoc (context) - Miller, Bonura - 1998
1 Learning to describe data in actions - David, Witten - 1995
1 Drop Zones: An Extension to LiveDoc (context) - Bonura - 1998
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