Improving pronominal and deictic co-reference resolution with multi-modal features

  • Authors:
  • Lin Chen;Anruo Wang;Barbara Di Eugenio

  • Affiliations:
  • University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL;University of Illinois at Chicago, Chicago, IL

  • Venue:
  • SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
  • Year:
  • 2011

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Abstract

Within our ongoing effort to develop a computational model to understand multi-modal human dialogue in the field of elderly care, this paper focuses on pronominal and deictic co-reference resolution. After describing our data collection effort, we discuss our annotation scheme. We developed a co-reference model that employs both a simple notion of markable type, and multiple statistical models. Our results show that knowing the type of the markable, and the presence of simultaneous pointing gestures improve co-reference resolution for personal and deictic pronouns.