mlsanityData to 7 Oct 2026

Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling

arXiv 1805.04787 ↗First posted 12 May 2018cs.CLcited by 34

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Abstract (arXiv)

Recent BIO-tagging-based neural semantic role labeling models are very high performing, but assume gold predicates as part of the input and cannot incorporate span-level features. We propose an end-to-end approach for jointly predicting all predicates, arguments spans, and the relations between them. The model makes independent decisions about what relationship, if any, holds between every possible word-span pair, and learns contextualized span representations that provide rich, shared input features for each decision. Experiments demonstrate that this approach sets a new state of the art on PropBank SRL without gold predicates.

Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2018.

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Citing papers per year: 2021: 20; 2022: 6; 2023: 4; 2024: 0; 2025: 3; 2026: 1.

34 papers.

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  2. 2021Learning Span-Level Interactions for Aspect Sentiment Triplet Extractioncited by 60
  3. 2021Packed Levitated Marker for Entity and Relation Extractioncited by 49
  4. 2021The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoderscited by 31
  5. 2023Pushing the Limits of ChatGPT on NLP Taskscited by 27
  6. 2021End-to-end Semantic Role Labeling with Neural Transition-based Modelcited by 22
  7. 2021Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Argumentscited by 14
  8. 2021Sequential Cross-Document Coreference Resolutioncited by 12
  9. 2021Syntax-Aware Graph-to-Graph Transformer for Semantic Role Labellingcited by 8
  10. 2021AGGGEN: Ordering and Aggregating while Generatingcited by 7
  11. 2021A Graph-Based Neural Model for End-to-End Frame Semantic Parsingcited by 7
  12. 2025Towards Transparent AI: A Survey on Explainable Large Language Modelscited by 7
22 more
  1. 2021A Data-Centric Framework for Composable NLP Workflowscited by 5
  2. 2023Improving Aspect-Based Sentiment with End-to-End Semantic Role Labeling Modelcited by 5
  3. 2022Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structurescited by 4
  4. 2021Thematic Fit Bits: Annotation Quality and Quantity Interplay for Event Participant Representationcited by 3
  5. 2021Document Embedding for Scientific Articles: Efficacy of Word Embeddings vs TFIDFcited by 3
  6. 2021An MRC Framework for Semantic Role Labelingcited by 3
  7. 2022A Structured Span Selectorcited by 3
  8. 2022Transition-based Semantic Role Labeling with Pointer Networkscited by 3
  9. 2025Towards Transparent AI: A Survey on Explainable Language Modelscited by 3
  10. 2021Argument Linking: A Survey and Forecastcited by 2
  11. 2021ELIT: Emory Language and Information Toolkitcited by 2
  12. 2021Graph-Based Decoding for Task Oriented Semantic Parsingcited by 2
  13. 2021Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Textcited by 2
  14. 2022Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fitcited by 2
  15. 2022Span-based joint entity and relation extraction augmented with sequence tagging mechanismcited by 2
  16. 2021Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsingcited by 1
  17. 2023DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskritcited by 1
  18. 2023MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domaincited by 1
  19. 2025LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Modelscited by 1
  20. 2021Graph Neural Networks for Natural Language Processing: A Surveycited by 0
  21. 2022A Two-Phase Paradigm for Joint Entity-Relation Extractioncited by 0
  22. 2026Fast and Accurate Quotation Attribution in Literary Textscited by 0