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Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions
[article]
2019
arXiv
pre-print
We introduce a new method to tag Multiword Expressions (MWEs) using a linguistically interpretable language-independent deep learning architecture. We specifically target discontinuity, an under-explored aspect that poses a significant challenge to computational treatment of MWEs. Two neural architectures are explored: Graph Convolutional Network (GCN) and multi-head self-attention. GCN leverages dependency parse information, and self-attention attends to long-range relations. We finally
arXiv:1902.10667v2
fatcat:j3gvtea26fg7jlihlgslxt75lq