mlsanityData to 7 Oct 2026

Second-Order Semantic Dependency Parsing with End-to-End Neural Networks

arXiv 1906.07880 ↗First posted 19 Jun 2019cs.CL cs.LGcited by 21

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Abstract (arXiv)

Semantic dependency parsing aims to identify semantic relationships between words in a sentence that form a graph. In this paper, we propose a second-order semantic dependency parser, which takes into consideration not only individual dependency edges but also interactions between pairs of edges. We show that second-order parsing can be approximated using mean field (MF) variational inference or loopy belief propagation (LBP). We can unfold both algorithms as recurrent layers of a neural network and therefore can train the parser in an end-to-end manner. Our experiments show that our approach achieves state-of-the-art performance.

Key facts. Cited by 21 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jun 2019.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 7; 2024: 1; 2025: 1.

21 papers.

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  1. 2021Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledgecited by 31
  2. 2023Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucinationcited by 27
  3. 2021Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognitioncited by 18
  4. 2021Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Argumentscited by 14
  5. 2023Joint Entity and Relation Extraction with Span Pruning and Hypergraph Neural Networkscited by 11
  6. 2021Sparse Fuzzy Attention for Structured Sentiment Analysiscited by 5
  7. 2022Developmental Negation Processing in Transformer Language Modelscited by 3
  8. 2022Transition-based Semantic Role Labeling with Pointer Networkscited by 3
  9. 2021Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddingscited by 2
  10. 2023Predicting Music Hierarchies with a Graph-Based Neural Decodercited by 2
  11. 2021Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsingcited by 1
  12. 2022Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inferencecited by 1
9 more
  1. 2022Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Fieldcited by 1
  2. 2023Structured Sentiment Analysis as Transition-based Dependency Graph Parsingcited by 1
  3. 2023On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Modelscited by 1
  4. 2021Self-Attentive Constituency Parsing for UCCA-based Semantic Parsingcited by 0
  5. 2022A Higher-Order Semantic Dependency Parsercited by 0
  6. 2023Knowing-how & Knowing-that: A New Task for Machine Comprehension of User Manualscited by 0
  7. 2023A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsingcited by 0
  8. 2024Auxiliary Tasks to Boost Biaffine Semantic Dependency Parsingcited by 0
  9. 2025Hierarchical Bracketing Encodings Work for Dependency Graphscited by 0