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POS

Papers

Showing 11011125 of 1146 papers

TitleStatusHype
Correcting Errors in a New Gold Standard for Tagging Icelandic Text0
Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study0
Creating a morphological and syntactic tagged corpus for the Uzbek language0
Creating and Managing a large annotated parallel corpora of Indian languages0
Creating POS Tagging and Dependency Parsing Experts via Topic Modeling0
Creation of Corpus and Analysis in Code-Mixed Kannada-English Social Media Data for POS Tagging0
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian0
Cross-lingual Annotation Projection Is Effective for Neural Part-of-Speech Tagging0
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering0
Cross-Lingual Dependency Parsing via Self-Training0
Cross-Lingual Dependency Parsing with Universal Dependencies and Predicted PoS Labels0
Cross-Lingual POS Tagging through Ambiguous Learning: First Experiments (Apprentissage partiellement supervis\'e d'un \'etiqueteur morpho-syntaxique par transfert cross-lingue) [in French]0
Cross-lingual tagger evaluation without test data0
Cross-Lingual Transfer for Distantly Supervised and Low-resources Indonesian NER0
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources0
Cross-lingual Transfer of Correlations between Parts of Speech and Gaze Features0
Cross-Register Projection for Headline Part of Speech Tagging0
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability0
Czech Text Processing with Contextual Embeddings: POS Tagging, Lemmatization, Parsing and NER0
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks0
Data Augmentation for Low-resource Word Segmentation and POS Tagging of Ancient Chinese Texts0
Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing0
Data Selection with Cluster-Based Language Difference Models and Cynical Selection0
Dating Ancient texts: an Approach for Noisy French Documents0
Deception Detection for the Russian Language: Lexical and Syntactic Parameters0
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