Compilers: principles, techniques, and tools
Compilers: principles, techniques, and tools
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The Utility of Knowledge in Inductive Learning
Machine Learning
Theory refinement combining analytical and empirical methods
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Knowledge-based artificial neural networks
Artificial Intelligence
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Creating advice-taking reinforcement learners
Machine Learning - Special issue on reinforcement learning
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Dynamic reference sifting: a case study in the homepage domain
Selected papers from the sixth international conference on World Wide Web
An instructable, adaptive interface for discovering and monitoring information on the World-Wide Web
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Learning users' interests by unobtrusively observing their normal behavior
Proceedings of the 5th international conference on Intelligent user interfaces
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
A framework for specifying explicit bias for revision of approximate information extraction rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Wrapper induction: efficiency and expressiveness
Artificial Intelligence - Special issue on Intelligent internet systems
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Reinforcement Learning
Information Retrieval
Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Using Reinforcement Learning to Spider the Web Efficiently
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A Theory-Refinement Approach to Information Extraction
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Constructing Biological Knowledge Bases by Extracting Information from Text Sources
Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A System for Building Intelligent Agents that Learn to Retrieve and Extract Information
User Modeling and User-Adapted Interaction
Relational learning techniques for natural language information extraction
Relational learning techniques for natural language information extraction
Machine learning for information extraction in informal domains
Machine learning for information extraction in informal domains
Building intelligent agents that learn to retrieve and extract information
Building intelligent agents that learn to retrieve and extract information
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A System for Building Intelligent Agents that Learn to Retrieve and Extract Information
User Modeling and User-Adapted Interaction
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We describe systems that use machine learning methods to retrieve and/or extract textual information from the Web. In particular, we present our Wisconsin Adaptive Web Assistant (WAWA), which constructs a Web agent by accepting user preferences in form of instructions and adapting the agent's behavior as it encounters new information. Our approach enables WAWA to rapidly build instructable and self-adaptive Web agents for both the information retrieval (IR) and information extraction (IE) tasks. WAWA uses two neural networks, which provide adaptive capabilities for its agents. User-provided instructions are compiled into these neural networks and are modified via training examples. Users can create these training examples by rating pages that WAWA retrieves, but more importantly our system uses techniques from reinforcement learning to internally create its own examples. Users can also provide additional instruction throughout the life of an agent. Empirical results on several domains show the advantages of our approach.