CRF-Seq and CRF-DepTree at PARSEME Shared Task 2018: Detecting Verbal MWEs using Sequential and Dependency-Based Approaches
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[1] Andrew McCallum,et al. An Introduction to Conditional Random Fields , 2010, Found. Trends Mach. Learn..
[2] Carl Vogel,et al. Multilingual Word Segmentation: Training Many Language-Specific Tokenizers Smoothly Thanks to the Universal Dependencies Corpus , 2018, LREC.
[3] Behrang Q. Zadeh,et al. The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions , 2017, MWE@EACL.
[4] Erwan Moreau. Semantic reranking of CRF label sequences for verbal multiword expression identification , 2018 .
[5] Isabelle Tellier,et al. Conditional Random Fields for XML Trees , 2006 .
[6] Carl Vogel,et al. Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking , 2017, MWE@EACL.
[7] Florent Jousse,et al. Transformations d'Arbres XML avec des Modèles Probabilistes pour l'Annotation. (XML Tree Transformations with Probabilistic Models) , 2007 .
[8] François Yvon,et al. Practical Very Large Scale CRFs , 2010, ACL.
[9] Simon Krek,et al. Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions , 2018, COLING 2018.
[10] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.