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Mixed-initiative conversational system using question-answer pairs mined from the web

Published: 29 October 2012 Publication History
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  • Abstract

    One of the biggest bottlenecks for conversational systems is large-scale provision of suitable content. Our approach readily provides this without the need for custom-crafting. In this demonstration, we present the use of question-answer (QA) pairs mined from online question-and-answer websites to construct system utterances for a conversational agent. Our system uses QA pairs to formulate utterances that drive a conversation in addition to the answering of user questions as has been done in previous work. We use a collection of strategies that specify how and when the different parts of our question-answer pairs can be used and augmented with a small number of generic hand-crafted text snippets to generate natural and coherent system utterances.

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    Cited By

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    • (2024)Interactive Question Answering Systems: Literature ReviewACM Computing Surveys10.1145/3657631Online publication date: 11-Apr-2024
    • (2019)Empirical feature analysis for dialogue breakdown detectionComputer Speech & Language10.1016/j.csl.2018.09.00754(140-150)Online publication date: Mar-2019
    • (2016)Large-scale Collection and Analysis of Personal Questions for Dialogue AgentsTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.DSF-51831:1(DSF-D_1-9)Online publication date: 2016
    • Show More Cited By

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    Published In

    cover image ACM Conferences
    CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management
    October 2012
    2840 pages
    ISBN:9781450311564
    DOI:10.1145/2396761

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 29 October 2012

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    Author Tags

    1. conversational system
    2. question-answer pairs

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    View all
    • (2024)Interactive Question Answering Systems: Literature ReviewACM Computing Surveys10.1145/3657631Online publication date: 11-Apr-2024
    • (2019)Empirical feature analysis for dialogue breakdown detectionComputer Speech & Language10.1016/j.csl.2018.09.00754(140-150)Online publication date: Mar-2019
    • (2016)Large-scale Collection and Analysis of Personal Questions for Dialogue AgentsTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.DSF-51831:1(DSF-D_1-9)Online publication date: 2016
    • (2016)User Information Extraction for Personalized Dialogue SystemsTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.DSF-51231:1(DSF-B_1-10)Online publication date: 2016
    • (2016)A language-based model for specifying and staging mixed-initiative dialogsProceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems10.1145/2933242.2933262(204-216)Online publication date: 21-Jun-2016
    • (2016)Mining mixed-initiative dialogs2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2016.7844579(002287-002294)Online publication date: Oct-2016
    • (2015)Leveraging Dependency Relations and Sentence Examples in Web-scale Corpus for Open-domain Utterance GenerationTransactions of the Japanese Society for Artificial Intelligence10.1527/tjsai.30.18330:1(183-194)Online publication date: 2015
    • (2014)Large-scale Collection and Analysis of Personal Question-Answer Pairs for Conversational AgentsIntelligent Virtual Agents10.1007/978-3-319-09767-1_53(420-433)Online publication date: 2014

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