Detecting Relations and Anomaly in Text and Speech (DRATS)

Abstract

Our project is called DRATS (Detecting Relations and Anomaly in Text and Speech). Most of our tasks have revolved around an analysis of the human participants in communications and in reported events. Specifically, we have concentrated on two areas of investigation. Cognitive State: What is going on in peoples minds? We have concentrated specifically on belief and sentiment: who believes what, with what degree of certitude, and who has what sentiment towards what? Cognitive Relations: How are people related to each other? We have investigated power, influence, community endorsement, and social networks, in general. In addition, we have also addressed some core information extraction tasks.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2018
Accession Number
AD1051862

Entities

People

  • Julia Hirschberg
  • Kathleen Mckeown
  • Mari Ostendorf
  • Mona Diab
  • Owen Rambow
  • Smaranda Muresan

Organizations

  • Columbia University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Data Mining
  • Dimensionality Reduction
  • Electronic Mail
  • Information Processing
  • Information Science
  • Information Systems
  • Natural Language Processing
  • Neural Networks
  • Online Communications
  • Ontologies
  • Social Media
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • East Asian Political and Security Studies within the Soviet Union
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation