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LER Roberta

Developed by nates
This model is fine-tuned based on the roberta-base architecture, specifically designed for the tag classification task of the LitBank dataset, suitable for entity recognition in literary works.
Downloads 14
Release Time : 4/12/2022

Model Overview

The model can annotate 6 types of entities under the ACE 2005 standard, including characters, organizations, geopolitical entities, etc., and is particularly suitable for processing sentences in literary works.

Model Features

Literary Work Entity Recognition
Optimized for sentences in literary works, capable of accurately identifying various entities.
Supports 6 Types of Entity Annotation
Can annotate characters, organizations, geopolitical entities, locations, vehicles, and facilities.
Based on roberta-base Architecture
Leverages the powerful performance of roberta-base through fine-tuning to improve entity recognition accuracy.

Model Capabilities

Entity Recognition
Text Classification

Use Cases

Literary Analysis
Literary Work Entity Annotation
Used to annotate entities such as characters and locations in literary works, aiding literary research.
Accurately identifies various entities in literary works.
Natural Language Processing
Text Entity Recognition
Used to process text data and identify various entities within it.
Enhances the automation level of text processing.
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