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First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis.

P. Felt, E. Ringger, K. Seppi, K. Heal, R. Haertel, and D. Lonsdale. LREC, page 878-885. European Language Resources Association (ELRA), (2012)

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PD Dr. Simon Paulus University of Stuttgart

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Other publications of authors with the same name

First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis.P. Felt, E. Ringger, K. Seppi, K. Heal, R. Haertel, and D. Lonsdale. LREC, page 878-885. European Language Resources Association (ELRA), (2012)An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning.R. Haertel, E. Ringger, K. Seppi, and P. Felt. LAW@NAACL-HLT, page 11-20. The Association for Computer Linguistics, (2015)Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types.P. Felt, E. Ringger, J. Boyd-Graber, and K. Seppi. COLING, page 1694-1704. Association for Computational Linguistics, (2018)Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings.P. Felt, E. Ringger, and K. Seppi. COLING, page 1787-1796. ACL, (2016)Tag Dictionaries Accelerate Manual Annotation.M. Carmen, P. Felt, R. Haertel, D. Lonsdale, P. McClanahan, O. Merkling, E. Ringger, and K. Seppi. LREC, European Language Resources Association, (2010)Using Transfer Learning to Assist Exploratory Corpus Annotation.P. Felt, E. Ringger, K. Seppi, and K. Heal. LREC, page 140-145. European Language Resources Association (ELRA), (2014)Evaluating machine-assisted annotation in under-resourced settings.P. Felt, E. Ringger, K. Seppi, K. Heal, R. Haertel, and D. Lonsdale. Language Resources and Evaluation, 48 (4): 561-599 (2014)Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models.P. Felt, K. Black, E. Ringger, K. Seppi, and R. Haertel. HLT-NAACL, page 882-891. The Association for Computational Linguistics, (2015)Fast Inference for Interactive Models of Text.J. Lund, P. Felt, K. Seppi, and E. Ringger. COLING, page 2997-3006. ACL, (2016)Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage.K. Black, E. Ringger, P. Felt, K. Seppi, K. Heal, and D. Lonsdale. LREC, page 3798-3805. European Language Resources Association (ELRA), (2014)