mlsanityData to 7 Oct 2026

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling

arXiv 1703.04826 ↗First posted 14 Mar 2017cs.CL cs.LGcited by 137

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Abstract (arXiv)

Semantic role labeling (SRL) is the task of identifying the predicate-argument structure of a sentence. It is typically regarded as an important step in the standard NLP pipeline. As the semantic representations are closely related to syntactic ones, we exploit syntactic information in our model. We propose a version of graph convolutional networks (GCNs), a recent class of neural networks operating on graphs, suited to model syntactic dependency graphs. GCNs over syntactic dependency trees are used as sentence encoders, producing latent feature representations of words in a sentence. We observe that GCN layers are complementary to LSTM ones: when we stack both GCN and LSTM layers, we obtain a substantial improvement over an already state-of-the-art LSTM SRL model, resulting in the best reported scores on the standard benchmark (CoNLL-2009) both for Chinese and English.

Key facts. Cited by 137 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Mar 2017.

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Citing papers per year: 2021: 53; 2022: 33; 2023: 33; 2024: 7; 2025: 7; 2026: 4.

137 papers.

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  3. 2021BertGCN: Transductive Text Classification by Combining GCN and BERTcited by 74
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  7. 2021Improving Graph Neural Networks with Simple Architecture Designcited by 41
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  9. 2021p-Laplacian Based Graph Neural Networkscited by 39
  10. 2023Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMscited by 35
  11. 2024Enhancing Video-Language Representations with Structural Spatio-Temporal Alignmentcited by 32
  12. 2021Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledgecited by 31
38 more
  1. 2021SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extractioncited by 30
  2. 2021Consensus Graph Representation Learning for Better Grounded Image Captioningcited by 28
  3. 2021MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioningcited by 27
  4. 2023Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucinationcited by 27
  5. 2023Pushing the Limits of ChatGPT on NLP Taskscited by 27
  6. 2021DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialoguescited by 25
  7. 2021Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labelingcited by 25
  8. 2021Cycle Representation Learning for Inductive Relation Predictioncited by 23
  9. 2021End-to-end Semantic Role Labeling with Neural Transition-based Modelcited by 22
  10. 2021Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inferencecited by 19
  11. 2021DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Networkcited by 19
  12. 2021Deep Learning for Android Malware Defenses: a Systematic Literature Reviewcited by 18
  13. 2023A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardwarecited by 18
  14. 2021AutoGEL: An Automated Graph Neural Network with Explicit Link Informationcited by 17
  15. 2021Graph Neural Networks: Methods, Applications, and Opportunitiescited by 16
  16. 2021Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videoscited by 16
  17. 2023Generating Visual Spatial Description via Holistic 3D Scene Understandingcited by 16
  18. 2021L-Verse: Bidirectional Generation Between Image and Textcited by 15
  19. 2023Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignmentcited by 15
  20. 2021Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filteringcited by 14
  21. 2021Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Argumentscited by 14
  22. 2022Conversational Semantic Role Labeling with Predicate-Oriented Latent Graphcited by 14
  23. 2021GraphFM: Graph Factorization Machines for Feature Interaction Modelingcited by 13
  24. 2023The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Surveycited by 13
  25. 2021GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognitioncited by 12
  26. 2021Relational Graph Learning for Grounded Video Description Generationcited by 12
  27. 2023Federated Learning over Coupled Graphscited by 12
  28. 2021BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matricescited by 11
  29. 2022A Double-Graph Based Framework for Frame Semantic Parsingcited by 10
  30. 2022Innovations in Neural Data-to-text Generation: A Surveycited by 10
  31. 2021Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphscited by 9
  32. 2022Generic and Trend-aware Curriculum Learning for Relation Extraction in Graph Neural Networkscited by 9
  33. 2021Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labellingcited by 8
  34. 2022GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomoleculescited by 8
  35. 2022A Review of Knowledge Graph Completioncited by 8
  36. 2022ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awarenesscited by 8
  37. 2025StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matchingcited by 8
  38. 2021Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideascited by 7

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