Simplify the Usage of Lexicon in Chinese NER
Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei, Xuanjing Huang
Abstract
Recently, many works have tried to augment the performance of Chinese named entity recognition (NER) using word lexicons. As a representative, Lattice-LSTM (Zhang and Yang, 2018) has achieved new benchmark results on several public Chinese NER datasets.
Topics & Concepts
Computer scienceLexiconNamed-entity recognitionNatural language processingArtificial intelligenceBenchmark (surveying)InferenceWord (group theory)Representation (politics)Character (mathematics)ArchitectureLinguisticsMathematicsArtPolitical scienceEconomicsManagementGeographyGeodesyVisual artsLawPoliticsGeometryPhilosophyTask (project management)Topic ModelingNatural Language Processing TechniquesText and Document Classification Technologies