Identification of Social Acts in Dialogue

Abstract

The emergence of dialogue on social medial necessitates the development of new dialogue processing models. We argue that to address coherence and to infer the implicatures of social dialogue it is vital to understand the social aspirations of the dialogue participants. One key aspect of understanding social dialogue is to understand the intentions and goals of participants. In this paper, we present 11 social acts that capture a broad number of social intentions and goals. We define social acts as pragmatic speech acts designed to give insight into the socio-cognitive processes that individuals unconsciously go through when communicating in dialogue. Identification of the social acts is done using a combination of a generative model in which utterances are generated from gappy patterns, which define a given social act, and a series of binary classifiers. Our experimentation shows that we can capture these social acts with an overall F-measure of 50.4 .

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Document Details

Document Type
Technical Report
Publication Date
Dec 08, 2012
Accession Number
AD1068972

Entities

People

  • David B. Bracewell
  • Hui Wang
  • Marc T. Tomlinson

Organizations

  • Language Computer Corporation

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Bayesian Networks
  • Cognition
  • Cognitive Science
  • Computational Linguistics
  • Computational Science
  • Group Dynamics
  • Language
  • Linguistics
  • Machine Learning
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Psychology
  • Social Media
  • Social Psychology
  • Supervised Machine Learning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics

Technology Areas

  • AI & ML