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Studies in Fuzziness and Soft Computing
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)doi:10.1007/978-3-7908-1772-0_16 fatcat:64dllc5wq5d7dlunxnzr42fozu