Show simple item record Attanayake, AMSSAUB
dc.contributor.editor Nanayakkara, V
dc.contributor.editor Gunasinghe, UP 2022-11-24T09:53:43Z 2022-11-24T09:53:43Z 2009-07
dc.identifier.citation **** en_US
dc.description.abstract Those who develop Natural Language Processing (NLP) systems sometimes find it convenient to develop several representations of knowledge. Especially in question and answer generating machines it is more logical to have several knowledge bases (KB) to answer each specific types of questions. This paper discusses a statistical learning based algorithm to port a specific question to a desired KB. The algorithm allows selection of KBs based on previously learnt patterns. Due to probabilistic parsing and POS (Part of Speech) tagging makes this algorithm much suitable for short questions or short input sentences. en_US
dc.language.iso en en_US
dc.publisher Computer Science & Engineering Society c/o Department of Computer Science and Engineering, University of Moratuwa. en_US
dc.subject Answer Generation en_US
dc.subject Chat Bot en_US
dc.subject Knowledge Representation en_US
dc.subject NLP en_US
dc.title Kb context switching algorithm for nlp en_US
dc.type Conference-Full-text en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2009 en_US
dc.identifier.conference CS & ES Conference 2009 en_US Colombo, Sri Lanka en_US
dc.identifier.pgnos pp. 15-18 en_US
dc.identifier.proceeding Proceedings of the CS & ES Conference 2009 en_US

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