Chinese Named Entity Recognition
37 papers with code • 7 benchmarks • 6 datasets
Chinese named entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc. from Chinese text (Source: Adapted from Wikipedia).
Benchmarks
These leaderboards are used to track progress in Chinese Named Entity Recognition
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Libraries
Use these libraries to find Chinese Named Entity Recognition models and implementations
OntoNotes 5.0
Weibo NER
Resume NER
Latest papers
Supplementary Features of BiLSTM for Enhanced Sequence Labeling
conglei2xu/global-context-mechanism
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Sequence labeling tasks require the computation of sentence representations for each word within a given sentence.
DiffusionNER: Boundary Diffusion for Named Entity Recognition
In this paper, we propose DiffusionNER, which formulates the named entity recognition task as a boundary-denoising diffusion process and thus generates named entities from noisy spans.
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
We apply BABERT for feature induction of Chinese sequence labeling tasks.
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition
Gazetteer is widely used in Chinese named entity recognition (NER) to enhance span boundary detection and type classification.
NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition
To deal with this issue, we advocate a novel lexical enhancement method, InterFormer, that effectively reduces the amount of computational and memory costs by constructing non-flat lattices.
Boundary Smoothing for Named Entity Recognition
syuoni/eznlp
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ACL 2022
Neural named entity recognition (NER) models may easily encounter the over-confidence issue, which degrades the performance and calibration.
Parallel Instance Query Network for Named Entity Recognition
Each instance query predicts one entity, and by feeding all instance queries simultaneously, we can query all entities in parallel.
MarkBERT: Marking Word Boundaries Improves Chinese BERT
We present a Chinese BERT model dubbed MarkBERT that uses word information in this work.
Unified Named Entity Recognition as Word-Word Relation Classification
ljynlp/w2ner
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So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
MarkBERT: Marking Word Boundaries Improves Chinese BERT
daiyongya/markbert
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ACL ARR November 2021
We present a Chinese BERT model dubbed MarkBERT that uses word information in this work.
