An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario

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dc.contributor.author Islam, KS
dc.contributor.editor Ong, KL
dc.contributor.editor Li, W
dc.contributor.editor Gao, J
dc.date.accessioned 2009-11-09T05:36:21Z
dc.date.issued 2007-01
dc.identifier.citation Conferences in Research and Practice in Information Technology, Vol. 84 - 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), 2007, pp. 73 - 81
dc.identifier.isbn 978-1-920682-65-1
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2746
dc.description.abstract Argumentation allows agents to exchange additional information to argue about their beliefs and other mental attitudes during the negotiation process. Utterances and subsequent observations may differ during argumentation due to the gap in internal and external information with other agent. Contextual information is one reason of deviation between utterance and subsequent observations. Historic dialogues are a key source for extracting contextual information regarding illocutions, ontological category or semantically similar category. How historical dialogues contribute to contextual information during argument generation, selection and evaluation process is crucial to modeling the commonsense that human being apply in managing dialogues. Identifying, managing and augmenting contextual information and use that information in agent dialogue requires attention to several dimensions, e.g., illocution, interaction protocol, ontology, context, contract etc. which is an important problem in electronic market research area. This paper presents an approach for extraction of argumentation context from historical dialogues between intelligent agents in e-market. We are developing an argumentation system to extract context from historical dialogue and exploit context for dialogue moves between agents. An agent architecture using context monitor, context network, context miner is presented for argumentation context mining
dc.publisher Australian Computer Society Inc.
dc.title An Approach to Argumentation Context Mining from Dialogue History in an E-Market Scenario
dc.type Conference Proceeding
dc.parent Conferences in Research and Practice in Information Technology, Vol. 84 - 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007)
dc.journal.number en_US
dc.publocation Australia en_US
dc.identifier.startpage 73 en_US
dc.identifier.endpage 81 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference International Workshop on Integrating Artificial Intelligence and Data Mining
dc.conference.location Gold Coast, Australia en_US
dc.for 080704 Information Retrieval and Web Search
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 998677
dc.percentage 50 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.custom International Workshop on Integrating Artificial Intelligence and Data Mining en_US
dc.date.activity 20071202 en_US
dc.date.activity 2007-12-02
dc.location.activity Gold Coast, Australia en_US
dc.description.keywords Argumentation Context, Context Mining, Context Network, Dialogue History, Electronic Market en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10


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