R

Rubert Base Cased Nli Threeway

Developed by cointegrated
A Russian natural language inference model fine-tuned from DeepPavlov/rubert-base-cased, capable of predicting logical relationships (entailment/contradiction/neutral) between two texts
Downloads 144.68k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Russian natural language inference tasks, capable of determining the logical relationship between two text segments, supporting three classifications: entailment, contradiction, and neutral.

Model Features

Multi-dataset Training
Trained on multiple NLI datasets translated from English to Russian, including JOCI, MNLI, MPE, SICK, SNLI, etc.
Zero-shot Classification Capability
Can perform zero-shot short text classification (e.g., sentiment analysis) via natural language inference
Three-way Logical Relations
Can distinguish three types of logical relationships between texts: entailment, contradiction, and neutral

Model Capabilities

Natural Language Inference
Zero-shot Classification
Text Relation Analysis

Use Cases

Text Analysis
Logical Relation Judgment
Determine the logical relationship between two Russian texts (e.g., whether the premise and conclusion are consistent)
Can output probability distributions for the three relationships
Sentiment Analysis
Zero-shot Sentiment Classification
Perform sentiment analysis without training by defining positive/negative label texts
Example shows 94% accuracy in identifying negative reviews
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