Article thumbnail

Richard: Towards a dialogue system supporting automatic event identification

By Y. Jiang, T. Dong, A.B. Cremers and J. Köhler


A dialogue system, Richard, for free communication on daily issues is under construction. Daily issues are classified into tree-structured event knowledge-base. For each event topic, we retrieve dialogue examples from the Internet. Basic-level Upper Ontologies (BLUO) are proposed to categorize words of these examples. Event identification is realized by comparing the similarity between BLUOs of an input sentence and BLUOs of example sentences in the event knowledge-base. Cosine similarity algorithm is adopted to select the most possible event domain. BLUOs of an input sentence are combined to the sentence ID. A difference distance acts as a metric to determine the most similar ID in the script with input sentence ID. An example of free dialogue within Greeting-Shopping-Restaurant domains is described. On-going work on meaning-based dialogue system and dialogue-based learning is outlined

Publisher: 'KSI Research Inc.'
Year: 2016
DOI identifier: 10.18293/DMS2016-020
OAI identifier:
Provided by: Fraunhofer-ePrints
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.