mlsanityData to 7 Oct 2026

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

arXiv 2106.01686 ↗First posted 3 Jun 2021cs.AI cs.CL cs.DBcited by 33

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Abstract (arXiv)

Conceptual graphs, which is a particular type of Knowledge Graphs, play an essential role in semantic search. Prior conceptual graph construction approaches typically extract high-frequent, coarse-grained, and time-invariant concepts from formal texts. In real applications, however, it is necessary to extract less-frequent, fine-grained, and time-varying conceptual knowledge and build taxonomy in an evolving manner. In this paper, we introduce an approach to implementing and deploying the conceptual graph at Alibaba. Specifically, We propose a framework called AliCG which is capable of a) extracting fine-grained concepts by a novel bootstrapping with alignment consensus approach, b) mining long-tail concepts with a novel low-resource phrase mining approach, c) updating the graph dynamically via a concept distribution estimation method based on implicit and explicit user behaviors. We have deployed the framework at Alibaba UC Browser. Extensive offline evaluation as well as online A/B testing demonstrate the efficacy of our approach.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 11 of its 29 references that are in the map. First posted on arXiv 3 Jun 2021.

Builds on

11 of 29 references.

References · 11

  1. 2017The Consciousness Priorcited by 105
  2. 2017Automated Phrase Mining from Massive Text Corporacited by 70
  3. 2019Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networkscited by 61
  4. 2019Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detectioncited by 54
  5. 2020Contrastive Triple Extraction with Generative Transformercited by 44
  6. 2019Low-Resource Name Tagging Learned with Weakly Labeled Datacited by 32
  7. 2019Relation Adversarial Network for Low Resource Knowledge Graph Completioncited by 24
  8. 2021OntoED: Low-resource Event Detection with Ontology Embeddingcited by 23
  9. 2019Deep Short Text Classification with Knowledge Powered Attentioncited by 22
  10. 2019A User-Centered Concept Mining System for Query and Document Understanding at Tencentcited by 11
  11. 2019Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embeddingcited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 6; 2022: 12; 2023: 4; 2024: 3; 2025: 3; 2026: 5.

33 papers.

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  1. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunitiescited by 97
  2. 2021Document-level Relation Extraction as Semantic Segmentationcited by 80
  3. 2022OntoProtein: Protein Pretraining With Gene Ontology Embeddingcited by 70
  4. 2022Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completioncited by 44
  5. 2021Meta-Knowledge Transfer for Inductive Knowledge Graph Embeddingcited by 31
  6. 2022Ontology-enhanced Prompt-tuning for Few-shot Learningcited by 24
  7. 2021SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysiscited by 23
  8. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  9. 2024Editing Conceptual Knowledge for Large Language Modelscited by 21
  10. 2022DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Populationcited by 17
  11. 2022Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuningcited by 13
  12. 2022Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graphcited by 13
21 more
  1. 2022Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddingscited by 12
  2. 2023Task Relation Distillation and Prototypical Pseudo Label for Incremental Named Entity Recognitioncited by 9
  3. 2023Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoningcited by 8
  4. 2022Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extractioncited by 7
  5. 2024Intention Knowledge Graph Construction for User Intention Relation Modelingcited by 6
  6. 2025Knowledge Augmented Complex Problem Solving with Large Language Models: A Surveycited by 6
  7. 2021LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-trainingcited by 5
  8. 2022LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddingscited by 5
  9. 2022Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commercecited by 4
  10. 2021Burn After Reading: Online Adaptation for Cross-domain Streaming Datacited by 3
  11. 2021Speaker-Oriented Latent Structures for Dialogue-Based Relation Extractioncited by 1
  12. 2022A Masked Image Reconstruction Network for Document-level Relation Extractioncited by 1
  13. 2023A Concept Knowledge Graph for User Next Intent Prediction at Alipaycited by 1
  14. 2025DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph Completioncited by 1
  15. 2025Is Your LLM Really Mastering the Concept? A Multi-Agent Benchmarkcited by 1
  16. 2026AutoPKG: An Automated Framework for Dynamic E-commerce Product-Attribute Knowledge Graph Constructioncited by 1
  17. 2024One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completioncited by 0
  18. 2026NK-GAD: Neighbor Knowledge-Enhanced Unsupervised Graph Anomaly Detectioncited by 0
  19. 2026One Pass for All: A Discrete Diffusion Model for Knowledge Graph Triple Set Predictioncited by 0
  20. 2026Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Surveycited by 0
  21. 2026Type-Balanced Contextual Learning for Incremental Named Entity Recognitioncited by 0