Improving Temporal Relation Extraction with a Globally Acquired Statistical Resource

Extracting temporal relations (before, after, overlapping, etc.) is a key aspect of understanding events described in natural language. We argue that this task would gain from the availability of a resource that provides prior knowledge in the form of the temporal order that events usually follow. T...

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Veröffentlicht in:arXiv.org 2018-04
Hauptverfasser: Ning, Qiang, Wu, Hao, Peng, Haoruo, Roth, Dan
Format: Artikel
Sprache:eng
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