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Roberta Large English Upos
English POS tagging and dependency parsing model based on RoBERTa-large, trained on the Universal Dependencies dataset.
Sequence Labeling
Transformers Supports Multiple Languages#English POS tagging#Dependency parsing#RoBERTa large model
Transformers Downloads 703
Release Time : 3/2/2022
Model Overview
This model is used for English text POS tagging (UPOS) and dependency parsing, based on FacebookAI's roberta-large architecture and fine-tuned on the Universal Dependencies dataset.
Model Features
Based on RoBERTa-large architecture
Utilizes the powerful RoBERTa-large pre-trained model as its foundation, providing high-quality language representation capabilities.
Universal POS tagging (UPOS)
Supports POS tagging following the Universal Dependencies (UD) standard, suitable for various NLP tasks.
Dependency parsing
Capable of analyzing syntactic dependency relationships between words in a sentence.
Model Capabilities
POS tagging
Dependency parsing
English text processing
Use Cases
Natural Language Processing
Text analysis
Performs grammatical analysis and POS tagging on English text
Obtains POS tags for each word and sentence structure relationships
Linguistic research
Used for linguistic studies and grammatical analysis
Provides standardized grammatical analysis results
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