Advancing Human and Machine Question Answering via Human Machine Collaboration

Abstract

There are two main channels for a human to obtain answers to her questions: one is to resort to machines like search engines, and the other is to resort to humans such as experts in online forums. We aim to develop novel human-machine collaboration mechanisms to facilitate both question answering (QA) channels.While most existing studies focus on either machines or humans, we observe that the capabilities of humans and machines are highly complementary to each other.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 11, 2022
Accession Number
AD1196844

Entities

People

  • Huan Sun

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Data Mining
  • Health Services
  • Information Processing
  • Information Science
  • Information Systems
  • Machine Learning
  • Medical Personnel
  • Natural Language Processing
  • Network Science
  • Neural Networks
  • Ontologies
  • Supervised Machine Learning

Readers

  • Computational Linguistics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design