Uncovering Motivations, Stances and Anomalies through Private-State Recognition

Abstract

We report on natural language processing research on the automatic identification of private states (e.g. opinions, beliefs, evaluations, judgments, feelings) in unstructured text. We focus on the development and evaluation of neural network-based methods for fine-grained opinion analysis methods for inferring private states that are not explicitly mentioned, and methods for determining private-state-aware semantic equivalence.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2018
Accession Number
AD1052275

Entities

People

  • Claire Cardi
  • Rada Michalcea

Organizations

  • Cornell University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computer Languages
  • Data Sets
  • Dimensionality Reduction
  • Identification
  • Integer Programming
  • Language
  • Linear Programming
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Probabilistic Models
  • Recurrent Neural Networks

Readers

  • Computational Linguistics
  • East Asian Political and Security Studies within the Soviet Union
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks