Exploiting Partially Annotated Data in Temporal Relation Extraction

*SEM@NAACL-HLT, pp. 148-153, 2018.

Cited by: 5|Bibtex|Views27|DOI:https://doi.org/10.18653/v1/s18-2018
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Annotating temporal relations (TempRel) between events described in natural language is known to be labor intensive, partly because the total number of TempRels is quadratic in the number of events. As a result, only a small number of documents are typically annotated, limiting the coverage of various lexical/semantic phenomena. In order ...More

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