Randomized greedy inference for joint segmentation, POS tagging and dependency parsing
In this paper, we introduce a new approach for joint segmentation, POS tagging and dependency parsing. While joint modeling of these tasks addresses the issue of error propagation inherent in traditional pipeline archi-tectures, it also complicates the inference task. Past research has addressed thi...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics,
2017-07-17T18:38:17Z.
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| Subjects: | |
| Online Access: | Get fulltext |