A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching

The author proposes a Multi-Concept Parsed Semantic Matching framework, MCP-SM, to enhance semantic matching across multiple languages by extracting various concepts from sentences. By disentangling keywords and intents without relying on external tools like NER, the MCP-SM offers flexibility and generality in semantic matching tasks.