Web-Based Question Answering: A Decision-Making Perspective

Autor:	Azari, David, Horvitz, Eric J., Dumais, Susan, Brill, Eric
Rok vydání:	2012
Předmět:	Computer Science - Information Retrieval Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	We describe an investigation of the use of probabilistic models and cost-benefit analyses to guide resource-intensive procedures used by a Web-based question answering system. We first provide an overview of research on question-answering systems. Then, we present details on AskMSR, a prototype web-based question answering system. We discuss Bayesian analyses of the quality of answers generated by the system and show how we can endow the system with the ability to make decisions about the number of queries issued to a search engine, given the cost of queries and the expected value of query results in refining an ultimate answer. Finally, we review the results of a set of experiments. Comment: Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1212.2453 Zobrazit plný text záznamu View this record from Arxiv