NavyTime: Event and Time Ordering from Raw Text

Abstract

This paper describes a complete event/time ordering system that annotates raw text with events, times, and the ordering relations between them at the SemEval-2013 Task 1. Task 1 is a unique challenge because it starts from raw text, rather than pre-annotated text with known events and times. A working system first identifies events and times, then identifies which events and times should be ordered, and finally labels the ordering relation between them. We present a split classifier approach that breaks the ordering tasks into smaller decision points. Experiments show that more specialized classifiers perform better than few joint classifiers. The NavyTime system ranked second both overall and in most subtasks like event extraction and relation labeling.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA587620

Entities

People

  • Nathanael Chambers

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Applied Computer Science
  • Classification
  • Computational Linguistics
  • Extraction
  • Identification
  • Information Operations
  • Language
  • Linguistics
  • Machine Learning
  • Rule Based Systems
  • Test And Evaluation
  • Test Sets
  • Training
  • United States
  • United States Naval Academy
  • Workshops

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Mathematical Modeling and Probability Theory.
  • Speech Processing/Speech Recognition.