Deep Models of Compositionality and Context

Abstract

Major Goals: Our main research goal is to develop techniques that allow humans to communicate with computers effectively to perform complex tasks. Primarily, this involves: 1. Create AI systems which allow humans to intuitively collaborate with diverse and context-aware text generation systems. Milestone: Build a system allowing humans to co-create short stories with a text generation system. [Completed] 2. Improve the capabilities of AI systems at adapting to new language and scenarios specified by humans. Milestone: Build a system that lets users use natural language and define new concepts to perform complex tasks in a Blocks World environment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 31, 2021
Accession Number
AD1186532

Entities

People

  • Percy Liang

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Text Summarization
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Demographic Cohorts
  • Formal Languages
  • Language
  • Learning
  • Linguistics
  • Machine Learning
  • Machine Translation
  • Natural Language Processing
  • Natural Languages
  • Programming Languages

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval