Robust Deep Semantics for Language Understanding

Abstract

The Robust Deep Semantics for Language Understanding project, pursued under the Deep Exploration and Filtering of Text program, began with a research focus on five areas: deep learning, textual inferential relations, relation and event extraction by distant supervision, semantic parsing and ontology expansion, and coreference resolution. As time went by, the program focus converged towards emphasizing technologies for knowledge base population. The project successfully pioneered methods for deep learning for natural language understanding, effective knowledge base construction from text, natural logic methods for text understanding, improved mention coreference algorithms, and the further development of multilingual tools in CoreNLP.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1054336

Entities

People

  • Christopher Manning
  • Dan Jurafsky
  • Percy Liang

Organizations

  • Stanford University

Tags

Communities of Interest

  • Autonomy
  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Deep Learning
  • Information Science
  • Language
  • Linguistics
  • Machine Learning
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Neural Networks
  • Ontologies
  • Supervised Machine Learning

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Neural Networks