DataFunTalk
May 3, 2021 · Artificial Intelligence
Integrating Lexical Knowledge and Handling Nested Entities in Chinese Named Entity Recognition
This article reviews recent advances in Chinese NER, examining lexical‑knowledge integration methods such as Lattice LSTM, FLAT, and graph‑based networks, and discusses approaches for nested entity recognition including Pyramid, MRC‑based frameworks, TPLinker and span‑based models, highlighting their strengths and trade‑offs.
Chinese NERLattice LSTMMRC
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