Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines

Jenny Rose Finkel, Christopher D. Manning, Andrew Y. Ng


Anthology ID:
W06-1673
Volume:
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Month:
July
Year:
2006
Address:
Sydney, Australia
Editors:
Dan Jurafsky, Eric Gaussier
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
618–626
Language:
URL:
https://aclanthology.org/W06-1673
DOI:
Bibkey:
Cite (ACL):
Jenny Rose Finkel, Christopher D. Manning, and Andrew Y. Ng. 2006. Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pages 618–626, Sydney, Australia. Association for Computational Linguistics.
Cite (Informal):
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines (Finkel et al., EMNLP 2006)
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PDF:
https://aclanthology.org/W06-1673.pdf