Extracting Biographical Spatial Timelines: Corpus and Experiments

Alakananda Vempala, Eduardo Blanco

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This article presents a corpus and experiments to extract spatial timelines from biographies. Spatial timelines capture where someone is and is not located, and specify when this spatial information is true. We work with 100 Wikipedia biographies, and consider intersentential (location, year) pairs as well as years that are not explicitly stated in the biographies. Experimental results show that a combination of LSTMs outperforms SVM with linguistically motivated features.

Original languageEnglish (US)
Article number9072395
Pages (from-to)1395-1403
Number of pages9
JournalIEEE/ACM Transactions on Audio Speech and Language Processing
Volume28
DOIs
StatePublished - 2020
Externally publishedYes

Keywords

  • Information extraction
  • Natural language processing

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Acoustics and Ultrasonics
  • Computational Mathematics
  • Electrical and Electronic Engineering

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