pfliu-nlp/Named-Entity-Recognition-NER-Papers

This project is a static curated list of academic papers. While it has 392 stars, indicating historical utility for NLP researchers, its velocity is 0.0, and its age (over 6 years) suggests it covers the pre-Transformer and early Transformer eras of NER. There is no technical moat; the value lies entirely in human curation which has likely stalled. From a competitive standpoint, this has been entirely superseded by 'Papers with Code' (integrated into Hugging Face) and AI-driven discovery tools like Semantic Scholar or Elicit. Frontier labs have effectively 'solved' general NER as a side effect of LLM development, making specialized NER architecture research less central to the industry. For a technical investor, this project represents a legacy archive rather than a defensible technology or active community. The risk of displacement is absolute, as the 'market' for knowledge discovery has moved to automated, real-time platforms.