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

, , and . EMNLP, page 618-626. ACL, (2006)

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Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach., , and . ICML, page 283-290. Morgan Kaufmann, (2002)Introduction to Information Retrieval, , and . Cambridge University Press, (2008 (to appear))Predictive translation memory: a mixed-initiative system for human language translation., , , and . UIST, page 177-187. ACM, (2014)Short message communications: users, topics, and in-language processing., and . ACM DEV, page 4:1-4:10. ACM, (2012)Spectral Learning., , and . IJCAI, page 561-566. Morgan Kaufmann, (2003)A comparison of Named-Entity Disambiguation and Word Sense Disambiguation., , , and . LREC, European Language Resources Association (ELRA), (2016)Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification., , , and . ASRU, page 347-352. IEEE, (2007)Challenges of Acquiring Compositional Inductive Biases via Meta-Learning., , and . MetaDL@AAAI, volume 140 of Proceedings of Machine Learning Research, page 138-148. PMLR, (2021)An extended model of natural logic., and . IWCS, page 140-156. Association for Computational Linguistics, (2009)Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines., , and . EMNLP, page 618-626. ACL, (2006)