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Exploration of Knowledge Driven Event Hyperbolic Embedding Temporal Relation Extraction Method
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Exploration of Knowledge Driven Event Hyperbolic Embedding Temporal Relation Extraction Method
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Journal Article
Exploration of Knowledge Driven Event Hyperbolic Embedding Temporal Relation Extraction Method
2023
Overview
Aiming at the problem of asymmetric temporal relations of events, the event representation is mapped to hyperbolic space to extract temporal relations of events. The word embedding representation of the event is constructed by using the pre-trained word vector and external knowledge through simple operation. Experimental results on publicly released datasets show that the F1 value of the model is generally 2% higher than that of the baseline model, which can improve the effect of event temporal relation extraction.
Publisher
Acta Scientiarum Naturalium Universitatis Pekinenis
Subject
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