Simplifying annotation of intersections in time normalization annotation: exploring syntactic and semantic validation

Peiwen Su, Steven Bethard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

While annotating normalized times in food security documents, we found that the semantically compositional annotation for time normalization (SCATE) scheme required several near-duplicate annotations to get the correct semantics for expressions like Nov. 7th to 11th 2021. To reduce this problem, we explored replacing SCATE’s SUB-INTERVAL property with a SUPER-INTERVAL property, that is, making the smallest units (e.g., 7th and 11th) rather than the largest units (e.g., 2021) the heads of the intersection chains. To ensure that the semantics of annotated time intervals remained unaltered despite our changes to the syntax of the annotation scheme, we applied several different techniques to validate our changes. These validation techniques detected and allowed us to resolve several important bugs in our automated translation from SUB-INTERVAL to SUPER-INTERVAL syntax.

Original languageEnglish (US)
Title of host publicationLAW-DMR 2021 - Joint 15th Linguistic Annotation Workshop and 3rd Designing Meaning Representations Workshop, Proceedings
EditorsClaire Bonial, Nianwen Xue
PublisherAssociation for Computational Linguistics (ACL)
Pages106-111
Number of pages6
ISBN (Electronic)9781954085855
DOIs
StatePublished - 2021
EventJoint 15th Linguistic Annotation Workshop and 3rd Designing Meaning Representations Workshop, LAW-DMR 2021 - Punta Cana, Dominican Republic
Duration: Nov 11 2021 → …

Publication series

NameLAW-DMR 2021 - Joint 15th Linguistic Annotation Workshop and 3rd Designing Meaning Representations Workshop, Proceedings

Conference

ConferenceJoint 15th Linguistic Annotation Workshop and 3rd Designing Meaning Representations Workshop, LAW-DMR 2021
Country/TerritoryDominican Republic
CityPunta Cana
Period11/11/21 → …

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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