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 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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