Multi-Task Learning for Category Prediction in Zhaozhuan Search Intent Understanding

This article introduces multi‑task learning, reviews industry category‑prediction methods, and details Zhaozhuan's practical application of MTL to improve e‑commerce search intent understanding through hierarchical category, brand, and model prediction using RoBERTa and contrastive learning.

Artificial IntelligenceCategory PredictionNLP

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Multi-Task Learning for Category Prediction in Zhaozhuan Search Intent Understanding

Meituan Technology Team

Jun 9, 2022 · Artificial Intelligence

FSL++: A Few-Shot Learning Model for Chinese Language Understanding that Tops the FewCLUE Benchmark

FSL++—a RoBERTa‑large‑based few‑shot model enhanced with domain‑adaptive pre‑training, prompt learning, diverse embedding‑level augmentations, and ensemble self‑training—topped the Chinese FewCLUE benchmark, beating human accuracy on news and scientific classification tasks and delivering measurable gains across multiple Meituan product scenarios.

Chinese language understandingFew‑Shot LearningNLP

0 likes · 23 min read

FSL++: A Few-Shot Learning Model for Chinese Language Understanding that Tops the FewCLUE Benchmark

TAL Education Technology

Apr 14, 2022 · Artificial Intelligence

Intelligent Call Recording Quality Inspection Using Dual‑Mode Detection

This article proposes a dual‑mode detection solution for call‑recording quality inspection that combines rule‑based semantic similarity matching with BERT‑based sentence segmentation and RoBERTa multi‑label classification to achieve high accuracy, fast task adaptation, and strong generalization for customer‑service scenarios.

BERTNLPRoBERTa

0 likes · 7 min read

Intelligent Call Recording Quality Inspection Using Dual‑Mode Detection