Low-Rank Tensors for Scoring Dependency Structures
Accurate scoring of syntactic structures such as head-modifier arcs in dependency parsing typically requires rich, high-dimensional feature representations. A small subset of such features is often selected manually. This is problematic when features lack clear linguistic meaning as in embeddings o...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computational Linguistics
2015
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| Online Access: | http://hdl.handle.net/1721.1/99745 https://orcid.org/0000-0003-3121-0185 https://orcid.org/0000-0002-2921-8201 https://orcid.org/0000-0002-2199-0379 https://orcid.org/0000-0003-4644-3088 |