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Story Ending Generation with Incremental Encoding and Commonsense Knowledge

arXiv 1808.10113 ↗First posted 30 Aug 2018cs.CLcited by 60

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Abstract (arXiv)

Generating a reasonable ending for a given story context, i.e., story ending generation, is a strong indication of story comprehension. This task requires not only to understand the context clues which play an important role in planning the plot but also to handle implicit knowledge to make a reasonable, coherent story. In this paper, we devise a novel model for story ending generation. The model adopts an incremental encoding scheme to represent context clues which are spanning in the story context. In addition, commonsense knowledge is applied through multi-source attention to facilitate story comprehension, and thus to help generate coherent and reasonable endings. Through building context clues and using implicit knowledge, the model is able to produce reasonable story endings. context clues implied in the post and make the inference based on it. Automatic and manual evaluation shows that our model can generate more reasonable story endings than state-of-the-art baselines.

Key facts. Cited by 60 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Aug 2018.

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Citing papers per year: 2021: 18; 2022: 31; 2023: 8; 2024: 3.

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  1. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  2. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  3. 2022MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversationcited by 84
  4. 2022Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generationcited by 73
  5. 2021JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphscited by 58
  6. 2021Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualizationcited by 51
  7. 2022ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classificationcited by 45
  8. 2021It's not Rocket Science : Interpreting Figurative Language in Narrativescited by 39
  9. 2022CICERO: A Dataset for Contextualized Commonsense Inference in Dialoguescited by 38
  10. 2021Guided Generation of Cause and Effectcited by 33
  11. 2022Visualize Before You Write: Imagination-Guided Open-Ended Text Generationcited by 30
  12. 2021Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoningcited by 29
38 more
  1. 2021OTTers: One-turn Topic Transitions for Open-Domain Dialoguecited by 29
  2. 2021Automatic Story Generation: Challenges and Attemptscited by 28
  3. 2021DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledgecited by 26
  4. 2021LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generationcited by 24
  5. 2021MTG: A Benchmark Suite for Multilingual Text Generationcited by 22
  6. 2024Creating Suspenseful Stories: Iterative Planning with Large Language Modelscited by 22
  7. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  8. 2023Multimodal Event Transformer for Image-guided Story Ending Generationcited by 21
  9. 2022COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personascited by 20
  10. 2022GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generationcited by 16
  11. 2022A Corpus for Understanding and Generating Moral Storiescited by 16
  12. 2022Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generationcited by 15
  13. 2023GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidencecited by 14
  14. 2021COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completioncited by 12
  15. 2021Guiding Neural Story Generation with Reader Modelscited by 12
  16. 2022ComFact: A Benchmark for Linking Contextual Commonsense Knowledgecited by 11
  17. 2021Unsupervised Editing for Counterfactual Storiescited by 8
  18. 2022What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generationcited by 8
  19. 2022C3KG: A Chinese Commonsense Conversation Knowledge Graphcited by 8
  20. 2022Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentationcited by 8
  21. 2023Enhancing Biomedical Lay Summarisation with External Knowledge Graphscited by 8
  22. 2021ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generationcited by 6
  23. 2022Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networkscited by 6
  24. 2022CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotionscited by 6
  25. 2022A Graph Enhanced BERT Model for Event Predictioncited by 5
  26. 2021Sentence-Permuted Paragraph Generationcited by 4
  27. 2022rmC small IS2: A Simplified Commonsense Inference Evaluation for Story Prosecited by 4
  28. 2022Event Transition Planning for Open-ended Text Generationcited by 4
  29. 2022Probing Script Knowledge from Pre-Trained Modelscited by 4
  30. 2022Contextual Information and Commonsense Based Prompt for Emotion Recognition in Conversationcited by 4
  31. 2023Generating Faithful Text From a Knowledge Graph with Noisy Reference Textcited by 4
  32. 2021KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoningcited by 3
  33. 2022A Survey on Knowledge-Enhanced Pre-trained Language Modelscited by 3
  34. 2021Enhancing Question Generation with Commonsense Knowledgecited by 2
  35. 2022COMPASS: a Creative Support System that Alerts Novelists to the Unnoticed Missing Contentscited by 2
  36. 2022Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architecturescited by 2
  37. 2023Text-To-KG Alignment: Comparing Current Methods on Classification Taskscited by 2
  38. 2024DiffuCOMET: Contextual Commonsense Knowledge Diffusioncited by 2

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