mlsanityData to 7 Oct 2026

Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

arXiv 1307.7973 ↗First posted 30 Jul 2013cs.CL cs.IR cs.LGcited by 21

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Abstract (arXiv)

This paper proposes a novel approach for relation extraction from free text which is trained to jointly use information from the text and from existing knowledge. Our model is based on two scoring functions that operate by learning low-dimensional embeddings of words and of entities and relationships from a knowledge base. We empirically show on New York Times articles aligned with Freebase relations that our approach is able to efficiently use the extra information provided by a large subset of Freebase data (4M entities, 23k relationships) to improve over existing methods that rely on text features alone.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jul 2013.

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Citing papers per year: 2021: 9; 2022: 4; 2023: 5; 2024: 1; 2025: 1; 2026: 1.

21 papers.

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  1. 2023NormBank: A Knowledge Bank of Situational Social Normscited by 60
  2. 2021Learning Concept Lengths Accelerates Concept Learning in ALCcited by 10
  3. 2021Distantly Supervised Relation Extraction with Sentence Reconstruction and Knowledge Base Priorscited by 8
  4. 2021Multi-view Inference for Relation Extraction with Uncertain Knowledgecited by 8
  5. 2023Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Modelscited by 7
  6. 2021Neural Class Expression Synthesiscited by 6
  7. 2024From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Modelscited by 6
  8. 2021A Question-answering Based Framework for Relation Extraction Validationcited by 5
  9. 2021CoRI: Collective Relation Integration with Data Augmentation for Open Information Extractioncited by 3
  10. 2021Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learningcited by 3
  11. 2022Understanding Substructures in Commonsense Relations in ConceptNetcited by 2
  12. 2023Federated Neuro-Symbolic Learningcited by 2
9 more
  1. 2025On Large-scale Evaluation of Embedding Models for Knowledge Graph Completioncited by 2
  2. 2021Question-Aware Memory Network for Multi-hop Question Answering in Human-Robot Interactioncited by 1
  3. 2022Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extractioncited by 1
  4. 2023Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentationcited by 1
  5. 2026Multimodal Cultural Heritage Knowledge Graph Extension with Language and Vision Modelscited by 1
  6. 2021Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchycited by 0
  7. 2022Learning to Borrow -- Relation Representation for Without-Mention Entity-Pairs for Knowledge Graph Completioncited by 0
  8. 2022V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphscited by 0
  9. 2023Exploring Embeddings for Measuring Text Relatedness: Unveiling Sentiments and Relationships in Online Commentscited by 0