Learn to Read to Know, Know to Learn to Read (L2K2R2)

Abstract

Develop methods for biomedical named entity recognition (NER) / grounding. Develop methods for extracting protein-protein interactions from biomedical text based on kernelized locality sensitive hashing and neural methods. Build an end-to-end automated reading system together with an evaluation framework

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Document Details

Document Type
Technical Report
Publication Date
Nov 06, 2019
Accession Number
AD1091105

Entities

People

  • Aram Galstyan

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Software
  • Automata Theory
  • Chemical Reactions
  • Coding
  • Computational Science
  • Computer Languages
  • Computer Science
  • Information Science
  • Language
  • Machine Learning
  • Named Entity Recognition
  • Natural Language Processing
  • Natural Languages
  • Neural Networks
  • Standards
  • 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
  • Biotechnology