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...

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Bibliographic Details
Main Authors: Lei, Tao, Zhang, Yuan, Marquez, Lluis, Moschitti, Alessandro, Barzilay, Regina
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computational Linguistics 2017
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