Multilingual Text Classification With Relevance Scoring

via “multilingual-text-classification-with-relevance-scoring”

text-classification model by undefined. 78,40,697 downloads.

Unique: 3-way classification head (relevant/irrelevant/neutral) trained on 2.7B query-passage pairs with hard negative mining, enabling nuanced relevance filtering beyond binary classification; XLM-RoBERTa backbone provides zero-shot multilingual transfer without language-specific fine-tuning

vs others: More granular than binary relevance classifiers (includes neutral class for ambiguous cases) and more efficient than ensemble approaches; single model handles 100+ languages vs maintaining separate classifiers per language