High-Order Low-Rank Tensors for Semantic Role Labeling
HLT-NAACL, pp. 1150-1160, 2015.
This paper introduces a tensor-based approach to semantic role labeling (SRL). The motivation behind the approach is to automatically induce a compact feature representation for words and their relations, tailoring them to the task. In this sense, our dimensionality reduction method provides a clear alternative to the traditional feature ...More
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