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Roberta Base MITmovie
R
Roberta Base MITmovie
Developed by thatdramebaazguy
A model trained for named entity recognition tasks using the MIT movie dataset based on the Roberta Base model
Downloads 34
Release Time : 3/2/2022
Model Overview
This model is trained for named entity recognition (NER) tasks in the movie domain, using BIO tagging to identify movie-related named entities.
Model Features
Specialized for Movie Domain
Specifically trained on movie domain data, optimized for recognizing movie-related entities
High Performance
Achieves 94.76% accuracy and 88.53% F1 score on the MIT movie dataset
Based on Roberta Architecture
Utilizes the powerful Roberta Base model as the foundational architecture
Model Capabilities
Movie Domain Named Entity Recognition
BIO Tagging for Entity Annotation
English Text Processing
Use Cases
Movie Information Processing
Movie Review Analysis
Extracts entity information such as movie titles, actors, and directors from movie reviews
Accurately identifies movie-related entities
Movie Database Construction
Automatically extracts movie-related information from text to build structured databases
Improves data collection efficiency
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