Stochastic web-based natural language dialog planning for web information filtering |
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| Authors: | Hugo Hromic John Atkinson |
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| Affiliation: | 1. Department of Computer Science, COMSATS University Islamabad (CUI), Pakistan.;2. Department of Computer Science, Aberystwyth University, Aberystwyth, Wales, United Kingdom.;3. Innovative Value Institute, Mayhooth University, Mayhooth, Ireland;4. Department of Embedded Systems Engineering, Incheon National University, 119 Academy-ro, Yeonsugu, Incheon, 22012, South Korea. |
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| Abstract: | This work addresses natural language dialog planning for an intelligent web filtering model, which lets the user filter search results obtained by a traditional search engine and assists them to find what they really are looking for. Unlike state-of-the-art approaches, a stochastic planning model is proposed for a web-driven dialog system which uses Conditional Random Fields to predict next dialog moves. Experiments with real web users and different interaction settings show the promise of the approach to web-based adaptive planning aimed at information filtering. |
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