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Roberta Base English Upos
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Roberta Base English Upos
Developed by KoichiYasuoka
This is a model based on the RoBERTa pre-trained model, using the UD_English dataset for POS tagging and dependency parsing.
Sequence Labeling
Transformers Supports Multiple Languages#English POS Tagging#Dependency Parsing#RoBERTa Optimization
Transformers Downloads 64
Release Time : 3/2/2022
Model Overview
This model is primarily used for English text POS tagging and dependency parsing, with each word tagged with UPOS (Universal POS tags).
Model Features
Based on RoBERTa Architecture
Utilizes the RoBERTa-base pre-trained model with powerful text comprehension capabilities.
Universal POS Tagging
Supports UPOS (Universal POS tags) tagging, suitable for various English text analysis scenarios.
Dependency Parsing
Can analyze dependency relationships between words in sentences.
Model Capabilities
POS Tagging
Dependency Parsing
English Text Processing
Use Cases
Natural Language Processing
Text Analysis
Perform POS tagging and syntactic analysis on English text
Obtain POS tags for each word and sentence structure information
Linguistic Research
Used for linguistic research and grammatical analysis
Provides detailed syntactic structure and POS information
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