Chatbot with a Discourse Structure-Driven Dialogue Management

• Autores: Borisw Galitsky, Dimitry Ilvovsky
• Localización: 15th Conference of the European Chapter of the Association for Computational Linguistics: Proceedings of the Software Demonstrations : April 3-7, 2017 Valencia, Spain / Anselmo Peñas Padilla (ed. lit.), André Martins Brandão (ed. lit.), 2017, ISBN 978-1-945626-36-4, págs. 87-90
• Idioma: inglés
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• Resumen

  • We build a chat bot with iterative content exploration that leads a user through a personalized knowledge acquisition session. The chat bot is designed as an automated customer support or product recommendation agent assisting a user in learning product features, product usability, suitability, troubleshooting and other related tasks. To control the user navigation through content, we extend the notion of a linguistic discourse tree (DT) towards a set of documents with multiple sections covering a topic. For a given paragraph, a DT is built by DT parsers. We then combine DTs for the paragraphs of documents to form what we call extended DT, which is a basis for interactive content exploration facilitated by the chat bot. To provide cohesive answers, we use a measure of rhetoric agreement between a question and an answer by tree kernel learning of their DTs