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Voorhees, E.M.: Question answering in TREC (2005)
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- Pages
- S.233-259
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Pomerantz, J.: ¬A linguistic analysis of question taxonomies (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.7, S.715-728
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Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002)
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- Source
- Knowledge organization. 29(2002) nos.3/4, S.135-155
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Galitsky, B.: Can many agents answer questions better than one? (2005)
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- Abstract
- The paper addresses the issue of how online natural language question answering, based on deep semantic analysis, may compete with currently popular keyword search, open domain information retrieval systems, covering a horizontal domain. We suggest the multiagent question answering approach, where each domain is represented by an agent which tries to answer questions taking into account its specific knowledge. The meta-agent controls the cooperation between question answering agents and chooses the most relevant answer(s). We argue that multiagent question answering is optimal in terms of access to business and financial knowledge, flexibility in query phrasing, and efficiency and usability of advice. The knowledge and advice encoded in the system are initially prepared by domain experts. We analyze the commercial application of multiagent question answering and the robustness of the meta-agent. The paper suggests that a multiagent architecture is optimal when a real world question answering domain combines a number of vertical ones to form a horizontal domain.
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Radev, D.; Fan, W.; Qu, H.; Wu, H.; Grewal, A.: Probabilistic question answering on the Web (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.571-583
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Lin, J.; Katz, B.: Building a reusable test collection for question answering (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.851-861
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Kruschwitz, U.; AI-Bakour, H.: Users want more sophisticated search assistants : results of a task-based evaluation (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.13, S.1377-1393
