mlsanityData to 7 Oct 2026

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition

arXiv 2203.00545 ↗First posted 1 Mar 2022cs.CL cs.LGcited by 17

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Abstract (arXiv)

The MultiCoNER shared task aims at detecting semantically ambiguous and complex named entities in short and low-context settings for multiple languages. The lack of contexts makes the recognition of ambiguous named entities challenging. To alleviate this issue, our team DAMO-NLP proposes a knowledge-based system, where we build a multilingual knowledge base based on Wikipedia to provide related context information to the named entity recognition (NER) model. Given an input sentence, our system effectively retrieves related contexts from the knowledge base. The original input sentences are then augmented with such context information, allowing significantly better contextualized token representations to be captured. Our system wins 10 out of 13 tracks in the MultiCoNER shared task.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 17 of its 34 references that are in the map. First posted on arXiv 1 Mar 2022.

Builds on

17 of 34 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2018Deep contextualized word representationscited by 2,285
  4. 2016MS MARCO: A Human Generated MAchine Reading COmprehension Datasetcited by 1,591
  5. 2016Enriching Word Vectors with Subword Informationcited by 1,578
  6. 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
  7. 2020LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attentioncited by 326
  8. 2020Named Entity Recognition as Dependency Parsingcited by 150
  9. 2020Automated Concatenation of Embeddings for Structured Predictioncited by 86
  10. 2021Improving Named Entity Recognition by External Context Retrieving and Cooperative Learningcited by 76
  11. 2019CrossWeigh: Training Named Entity Tagger from Imperfect Annotationscited by 60
  12. 2019Neural Architectures for Nested NER through Linearizationcited by 56
5 more
  1. 2020ORCAS: 18 Million Clicked Query-Document Pairs for Analyzing Searchcited by 34
  2. 2020Exploring Cross-sentence Contexts for Named Entity Recognition with BERTcited by 27
  3. 2018Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenationcited by 21
  4. 2021Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolutioncited by 12
  5. 2021TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuningcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 5; 2023: 7; 2024: 2; 2025: 2; 2026: 1.

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  1. 2023ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learningcited by 203
  2. 2025LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routingcited by 29
  3. 2022Named Entity and Relation Extraction with Multi-Modal Retrievalcited by 26
  4. 2022Parallel Instance Query Network for Named Entity Recognitioncited by 19
  5. 2023PromptNER: Prompt Locating and Typing for Named Entity Recognitioncited by 17
  6. 2022Domain-Specific NER via Retrieving Correlated Samplescited by 11
  7. 2023DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognitioncited by 9
  8. 2022hmBERT: Historical Multilingual Language Models for Named Entity Recognitioncited by 8
  9. 2022VTCC-NLP at NL4Opt competition subtask 1: An Ensemble Pre-trained language models for Named Entity Recognitioncited by 5
  10. 2023IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Basescited by 1
  11. 2023CLaC at SemEval-2023 Task 2: Comparing Span-Prediction and Sequence-Labeling approaches for NERcited by 1
  12. 2023PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Informationcited by 1
5 more
  1. 2023Comparing and combining some popular NER approaches on Biomedical taskscited by 1
  2. 2024Large Language Models aren't all that you needcited by 1
  3. 2024Synergizing Machine Learning & Symbolic Methods: A Survey on Hybrid Approaches to Natural Language Processingcited by 1
  4. 2025Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentationcited by 0
  5. 2026Uncertainty Quantification for Named Entity Recognition via Full-Sequence and Subsequence Conformal Predictioncited by 0