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Chinese NER Using Lattice LSTM

arXiv 1805.02023 ↗First posted 5 May 2018cs.CLcited by 81

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Abstract (arXiv)

We investigate a lattice-structured LSTM model for Chinese NER, which encodes a sequence of input characters as well as all potential words that match a lexicon. Compared with character-based methods, our model explicitly leverages word and word sequence information. Compared with word-based methods, lattice LSTM does not suffer from segmentation errors. Gated recurrent cells allow our model to choose the most relevant characters and words from a sentence for better NER results. Experiments on various datasets show that lattice LSTM outperforms both word-based and character-based LSTM baselines, achieving the best results.

Key facts. Cited by 81 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 May 2018.

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Citing papers per year: 2021: 17; 2022: 37; 2023: 7; 2024: 10; 2025: 8; 2026: 2.

81 papers.

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  2. 2022A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasetscited by 45
  3. 2021Molformer: Motif-based Transformer on 3D Heterogeneous Molecular Graphscited by 44
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  5. 2021Lexicon Enhanced Chinese Sequence Labeling Using BERT Adaptercited by 34
  6. 2021TaCL: Improving BERT Pre-training with Token-aware Contrastive Learningcited by 32
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  9. 2022Boundary Smoothing for Named Entity Recognitioncited by 21
  10. 2021Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Modelscited by 19
  11. 2021Interpreting Deep Learning Models in Natural Language Processing: A Reviewcited by 19
  12. 2022AISHELL-NER: Named Entity Recognition from Chinese Speechcited by 19
38 more
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  3. 2022MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspectivecited by 17
  4. 2025ContextASR-Bench: A Massive Contextual Speech Recognition Benchmarkcited by 14
  5. 2022TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizercited by 13
  6. 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
  7. 2022Understanding the Failure of Batch Normalization for Transformers in NLPcited by 12
  8. 2024LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertaintycited by 12
  9. 2021MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognitioncited by 11
  10. 2022PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasetscited by 10
  11. 2022Flat Multi-modal Interaction Transformer for Named Entity Recognitioncited by 8
  12. 2022TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained Tagscited by 8
  13. 2022Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognitioncited by 7
  14. 2021Masked Conditional Random Fields for Sequence Labelingcited by 6
  15. 2021Lattention: Lattice-attention in ASR rescoringcited by 6
  16. 2024PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognitioncited by 6
  17. 2024IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpuscited by 5
  18. 2024Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challengescited by 5
  19. 2024Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognitioncited by 5
  20. 2021DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labelingcited by 4
  21. 2021Why KDAC? A general activation function for knowledge discoverycited by 4
  22. 2022TURNER: The Uncertainty-based Retrieval Framework for Chinese NERcited by 4
  23. 2022Deep Span Representations for Named Entity Recognitioncited by 4
  24. 2021MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognitioncited by 3
  25. 2021Enhanced Language Representation with Label Knowledge for Span Extractioncited by 3
  26. 2022Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognitioncited by 3
  27. 2022Robust Self-Augmentation for Named Entity Recognition with Meta Reweightingcited by 3
  28. 2022GNN-SL: Sequence Labeling Based on Nearest Examples via GNNcited by 3
  29. 2022A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identificationcited by 3
  30. 2023A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognitioncited by 3
  31. 2023Who Would be Interested in Services? An Entity Graph Learning System for User Targetingcited by 3
  32. 2024KnowCoder-X: Boosting Multilingual Information Extraction via Codecited by 3
  33. 2024Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategycited by 3
  34. 2022MarkBERT: Marking Word Boundaries Improves Chinese BERTcited by 2
  35. 2022An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformercited by 2
  36. 2022Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Taskcited by 2
  37. 2022A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extractioncited by 2
  38. 2022gBuilder: A Scalable Knowledge Graph Construction System for Unstructured Corpuscited by 2

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