mlsanityData to 7 Oct 2026

End-to-end Semantic Role Labeling with Neural Transition-based Model

arXiv 2101.00394 ↗First posted 2 Jan 2021cs.CLcited by 22

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Abstract (arXiv)

End-to-end semantic role labeling (SRL) has been received increasing interest. It performs the two subtasks of SRL: predicate identification and argument role labeling, jointly. Recent work is mostly focused on graph-based neural models, while the transition-based framework with neural networks which has been widely used in a number of closely-related tasks, has not been studied for the joint task yet. In this paper, we present the first work of transition-based neural models for end-to-end SRL. Our transition model incrementally discovers all sentential predicates as well as their arguments by a set of transition actions. The actions of the two subtasks are executed mutually for full interactions. Besides, we suggest high-order compositions to extract non-local features, which can enhance the proposed transition model further. Experimental results on CoNLL09 and Universal Proposition Bank show that our final model can produce state-of-the-art performance, and meanwhile keeps highly efficient in decoding. We also conduct detailed experimental analysis for a deep understanding of our proposed model.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 22 of its 50 references that are in the map. First posted on arXiv 2 Jan 2021.

Builds on

22 of 50 references.

References · 22

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
  3. 2018Deep contextualized word representationscited by 2,285
  4. 2015Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networkscited by 305
  5. 2016End-to-End Relation Extraction using LSTMs on Sequences and Tree Structurescited by 161
  6. 2017Encoding Sentences with Graph Convolutional Networks for Semantic Role Labelingcited by 137
  7. 2018Linguistically-Informed Self-Attention for Semantic Role Labelingcited by 71
  8. 2020Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpuscited by 49
  9. 2015Transition-Based Dependency Parsing with Stack Long Short-Term Memorycited by 45
  10. 2018Jointly Predicting Predicates and Arguments in Neural Semantic Role Labelingcited by 34
  11. 2019Core Semantic First: A Top-down Approach for AMR Parsingcited by 24
  12. 2019Dependency or Span, End-to-End Uniform Semantic Role Labelingcited by 22
10 more
  1. 2016Neural Semantic Role Labeling with Dependency Path Embeddingscited by 15
  2. 2018A Neural Transition-based Model for Nested Mention Recognitioncited by 15
  3. 2018A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?cited by 13
  4. 2020Cross-lingual Semantic Role Labeling with Model Transfercited by 11
  5. 2017A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labelingcited by 10
  6. 2019Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategiescited by 9
  7. 2019Syntax-aware Neural Semantic Role Labelingcited by 8
  8. 2019Syntax-Enhanced Self-Attention-Based Semantic Role Labelingcited by 8
  9. 2019Semantic Role Labeling with Iterative Structure Refinementcited by 5
  10. 2020High-order Refining for End-to-end Chinese Semantic Role Labelingcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 6; 2023: 13; 2024: 0; 2025: 1; 2026: 1.

22 papers.

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  1. 2022DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysiscited by 27
  2. 2023Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucinationcited by 27
  3. 2021Mastering the Explicit Opinion-role Interaction: Syntax-aided Neural Transition System for Unified Opinion Role Labelingcited by 25
  4. 2022OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extractioncited by 18
  5. 2023Generating Visual Spatial Description via Holistic 3D Scene Understandingcited by 16
  6. 2023Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignmentcited by 15
  7. 2023Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labelingcited by 15
  8. 2022Conversational Semantic Role Labeling with Predicate-Oriented Latent Graphcited by 14
  9. 2023Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognitioncited by 13
  10. 2022Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extractioncited by 10
  11. 2023Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extractioncited by 6
  12. 2022Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structurescited by 4
10 more
  1. 2022Transition-based Semantic Role Labeling with Pointer Networkscited by 3
  2. 2023ECQED: Emotion-Cause Quadruple Extraction in Dialogscited by 2
  3. 2023TKDP: Threefold Knowledge-enriched Deep Prompt Tuning for Few-shot Named Entity Recognitioncited by 2
  4. 2023Revisiting Conversation Discourse for Dialogue Disentanglementcited by 2
  5. 2023A Bi-directional Multi-hop Inference Model for Joint Dialog Sentiment Classification and Act Recognitioncited by 2
  6. 2023Structured Sentiment Analysis as Transition-based Dependency Graph Parsingcited by 1
  7. 2023DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogscited by 1
  8. 2025LLMs Can Also Do Well! Breaking Barriers in Semantic Role Labeling via Large Language Modelscited by 1
  9. 2023Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integrationcited by 0
  10. 2026Revisiting Semantic Role Labeling: Efficient Structured Inference with Dependency-Informed Analysiscited by 0