Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing
Accurate multilingual transfer parsing typically relies on careful feature engineering. In this paper, we propose a hierarchical tensor-based approach for this task. This approach induces a compact feature representation by combining atomic features. However, unlike traditional tensor models, it ena...
| Main Authors: | , |
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| 其他作者: | |
| 格式: | 文件 |
| 语言: | en_US |
| 出版: |
Association for Computational Linguistics
2017
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| 在线阅读: | http://hdl.handle.net/1721.1/110754 https://orcid.org/0000-0002-2921-8201 https://orcid.org/0000-0003-3121-0185 |