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Wallace: Incorporating Search into Chatting

  • Alexandre Sawczuk da Silva
  • Xiaoying Gao
  • Peter Andreae
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8862)

Abstract

Chatbots are a well-established technology, however the conversational ability of the typical chatbot is greatly restricted. This paper investigates how the performance of a chatbot could be improved by connecting it with a knowledge source that could be used during its interactions with users. A new chatbot, Wallace, was created by extending Alice to incorporate knowledge from Wikipedia into its conversations. Mechanisms were designed and developed to retrieve Wikipedia pages, parse them, and select suitable sentences for the conversation. A user evaluation was conducted on the prototype, which showed that Wallace was generally more effective than Alice at providing factual answers to questions denoting an informational need. Participants also expressed that Wallace was more specific and more entertaining than Alice.

Keywords

User Evaluation Cosine Similarity Input Sentence Ground Theory Methodology Query Vector 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alexandre Sawczuk da Silva
    • 1
  • Xiaoying Gao
    • 1
  • Peter Andreae
    • 1
  1. 1.School of Engineering and Computer ScienceVictoria University of WellingtonNew Zealand

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