Dependency Parsing with Noisy Multi-annotation Data
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[1] Graham Neubig,et al. Training Dependency Parsers from Partially Annotated Corpora , 2011, IJCNLP.
[2] Brendan T. O'Connor,et al. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks , 2008, EMNLP.
[3] Bernardete Ribeiro,et al. Sequence labeling with multiple annotators , 2013, Machine Learning.
[4] Peng Jin,et al. Multi-view Chinese Treebanking , 2014, COLING.
[5] Gianluca Demartini,et al. ZenCrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking , 2012, WWW.
[6] Timothy Dozat,et al. Deep Biaffine Attention for Neural Dependency Parsing , 2016, ICLR.
[7] Matthew Lease,et al. Aggregating and Predicting Sequence Labels from Crowd Annotations , 2017, ACL.
[8] Gerardo Hermosillo,et al. Learning From Crowds , 2010, J. Mach. Learn. Res..
[9] Stephan Oepen,et al. SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing , 2014, *SEMEVAL.
[10] Sadao Kurohashi,et al. Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing , 2010, ACL.
[11] Mihai Surdeanu,et al. Event Extraction as Dependency Parsing , 2011, ACL.
[12] A. P. Dawid,et al. Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm , 1979 .
[13] Fei Xia,et al. The Penn Chinese TreeBank: Phrase structure annotation of a large corpus , 2005, Natural Language Engineering.
[14] Koby Crammer,et al. Sequence Learning from Data with Multiple Labels , 2009 .
[15] Yue Zhang,et al. Active Learning for Dependency Parsing with Partial Annotation , 2016, ACL.
[16] Margrit Betke,et al. How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-experts, and Algorithms , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[17] Panagiotis G. Ipeirotis,et al. Get another label? improving data quality and data mining using multiple, noisy labelers , 2008, KDD.
[18] Gerardo Hermosillo,et al. Supervised learning from multiple experts: whom to trust when everyone lies a bit , 2009, ICML '09.
[19] Luigi Di Caro,et al. Sentiment analysis via dependency parsing , 2013, Comput. Stand. Interfaces.