Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks

Citation:

Lin C, Miller T, Dligach D, Bethard S, Savova G. Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks, in BioNLP 2017. Vancouver, Canada, Association for Computational Linguistics ; 2017 :322–327.

Date Presented:

August

Abstract:

Token sequences are often used as the input for Convolutional Neural Networks (CNNs) in natural language processing. However, they might not be an ideal representation for time expressions, which are long, highly varied, and semantically complex. We describe a method for representing time expressions with single pseudo-tokens for CNNs. With this method, we establish a new state-of-the-art result for a clinical temporal relation extraction task.

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