High-order low-rank tensors for semantic role labeling
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 clea...
Main Authors: | , , , , |
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Other Authors: | |
Format: | Article |
Language: | en_US |
Published: |
Association for Computational Linguistics
2017
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Online Access: | http://hdl.handle.net/1721.1/110804 https://orcid.org/0000-0003-4644-3088 https://orcid.org/0000-0003-3121-0185 https://orcid.org/0000-0002-2921-8201 |