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Bilingual Embedding Base

Developed by Lajavaness
A bilingual sentence embedding model based on sentence-transformers, supporting feature extraction and sentence similarity calculation
Downloads 1,269
Release Time : 6/26/2024

Model Overview

This model is primarily used to generate sentence embeddings, applicable for tasks such as sentence similarity calculation, clustering, retrieval, and reranking

Model Features

Bilingual Support
Supports bilingual processing, enabling cross-language sentence similarity calculation
Multifunctional Applications
Supports various downstream tasks including clustering, retrieval, and reranking
High Performance
Performs excellently on multiple evaluation datasets, particularly outstanding in reranking tasks

Model Capabilities

Sentence embedding generation
Sentence similarity calculation
Text clustering
Information retrieval
Result reranking

Use Cases

Education
Educational Content Clustering
Automatically clusters education-related texts
Achieved a v_measure of 64.71 on the AlloProfClusteringP2P dataset
Information Retrieval
Legal Document Retrieval
Retrieves relevant documents from legal texts
Achieved a map@100 of 10.852 on the BSARDRetrieval dataset
E-commerce
Product Review Classification
Performs sentiment classification on product reviews
Achieved an accuracy of 40.354% on the AmazonReviewsClassification(fr) dataset
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