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Toward Abstractive Summarization Using Semantic Representations

arXiv 1805.10399 ↗First posted 25 May 2018cs.CLcited by 43

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Abstract (arXiv)

We present a novel abstractive summarization framework that draws on the recent development of a treebank for the Abstract Meaning Representation (AMR). In this framework, the source text is parsed to a set of AMR graphs, the graphs are transformed into a summary graph, and then text is generated from the summary graph. We focus on the graph-to-graph transformation that reduces the source semantic graph into a summary graph, making use of an existing AMR parser and assuming the eventual availability of an AMR-to-text generator. The framework is data-driven, trainable, and not specifically designed for a particular domain. Experiments on gold-standard AMR annotations and system parses show promising results. Code is available at: https://github.com/summarization

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 May 2018.

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Citing papers per year: 2021: 12; 2022: 12; 2023: 3; 2024: 8; 2025: 6; 2026: 2.

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  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  2. 2023Tractable Control for Autoregressive Language Generationcited by 65
  3. 2022Graph Pre-training for AMR Parsing and Generationcited by 55
  4. 2024A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Modelscited by 52
  5. 2022FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representationscited by 41
  6. 2021Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsingcited by 25
  7. 2021Semantic Representation for Dialogue Modelingcited by 24
  8. 2021BASS: Boosting Abstractive Summarization with Unified Semantic Graphcited by 21
  9. 2021WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Datasetcited by 20
  10. 2021Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answeringcited by 17
  11. 2022Automatic Text Summarization Methods: A Comprehensive Reviewcited by 17
  12. 2021QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositionscited by 16
31 more
  1. 2021DocAMR: Multi-Sentence AMR Representation and Evaluationcited by 12
  2. 2022QASem Parsing: Text-to-text Modeling of QA-based Semanticscited by 12
  3. 2024Analyzing the Role of Semantic Representations in the Era of Large Language Modelscited by 12
  4. 2022Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphscited by 11
  5. 2022Innovations in Neural Data-to-text Generation: A Surveycited by 10
  6. 2024Diffusion-based Human Motion Style Transfer with Semantic Guidancecited by 7
  7. 2021Nutri-bullets: Summarizing Health Studies by Composing Segmentscited by 6
  8. 2023Abstractive Summarization of Large Document Collections Using GPTcited by 6
  9. 2021An analysis of document graph construction methods for AMR summarizationcited by 5
  10. 2022Visual Semantic Parsing: From Images to Abstract Meaning Representationcited by 4
  11. 2021Dialogue Inspectional Summarization with Factual Inconsistency Awarenesscited by 3
  12. 2022Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architecturescited by 2
  13. 2022Cross-domain Generalization for AMR Parsingcited by 2
  14. 2024Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsingcited by 2
  15. 2025Survey of Abstract Meaning Representation: Then, Now, Futurecited by 2
  16. 2025DiaCDM: Cognitive Diagnosis in Teacher-Student Dialogues using the Initiation-Response-Evaluation Frameworkcited by 2
  17. 2025Concept than Document: Context Compression via AMR-based Conceptual Entropycited by 2
  18. 2021Making Better Use of Bilingual Information for Cross-Lingual AMR Parsingcited by 1
  19. 2024Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic Similaritycited by 1
  20. 2024Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parsercited by 1
  21. 2021Self-Attentive Constituency Parsing for UCCA-based Semantic Parsingcited by 0
  22. 2022Transition-based Abstract Meaning Representation Parsing with Contextual Embeddingscited by 0
  23. 2022A Survey : Neural Networks for AMR-to-Textcited by 0
  24. 2022Strictly Breadth-First AMR Parsingcited by 0
  25. 2023Inducing Causal Structure for Abstractive Text Summarizationcited by 0
  26. 2024Modeling Unified Semantic Discourse Structure for High-quality Headline Generationcited by 0
  27. 2025Abstract Meaning Representation for Hospital Discharge Summarizationcited by 0
  28. 2025Evaluation of Finetuned LLMs in AMR Parsingcited by 0
  29. 2025ding-01 :ARG0: An AMR Corpus for Spontaneous French Dialoguecited by 0
  30. 2026Toward Complete Hospital Discharge Summarization with Abstract Meaning Representationcited by 0
  31. 2026SinBrief: A Hybrid Framework for Abstractive Text Summarisation of Sinhala Legal Documentscited by 0