Greed is Good if Randomized: New Inference for Dependency Parsing

Yuan Zhang, Tao Lei, Regina Barzilay, Tommi Jaakkola


Anthology ID:
D14-1109
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Editors:
Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1013–1024
Language:
URL:
https://aclanthology.org/D14-1109
DOI:
10.3115/v1/D14-1109
Bibkey:
Cite (ACL):
Yuan Zhang, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2014. Greed is Good if Randomized: New Inference for Dependency Parsing. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1013–1024, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Greed is Good if Randomized: New Inference for Dependency Parsing (Zhang et al., EMNLP 2014)
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https://preview.aclanthology.org/ingest-bitext-workshop/D14-1109.pdf
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