Papers with Storytelling
Salience-Aware Event Chain Modeling for Narrative Understanding (2021.emnlp-main)
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| Challenge: | Storytelling is the communication of interesting and related events that form a concrete process. |
| Approach: | They propose methods for extracting the principal chain from natural language text . they filter away non-salient events and supportive sentences to isolate them . authors propose novel methods for predicting and answering events from text based on event-based temporal question answering . |
| Outcome: | The proposed method improves narrative prediction and event-based temporal question answering tasks. |
Affective and Dynamic Beam Search for Story Generation (2023.findings-emnlp)
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| Challenge: | AffGen introduces ‘intriguing twists’ in narratives by employing two novel techniques—Dynamic Beam Sizing and Affective Reranking. |
| Approach: | They propose to use dynamic beam sizing and affective reranking to generate interesting stories using two novel techniques. |
| Outcome: | The proposed method outperforms baseline models in generating affectively charged and interesting narratives. |
SWAG: Storytelling With Action Guidance (2024.findings-emnlp)
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| Challenge: | Large language models (LLMs) are used for one-shot creation, but they can produce inconsistent but not necessarily engaging content. |
| Approach: | They propose a novel approach to storytelling with large language models that reduces story writing to a search problem through a two-model feedback loop. |
| Outcome: | The proposed approach outperforms existing methods when evaluated by GPT-4 and through human evaluation. |
Sound of Story: Multi-modal Storytelling with Audio (2023.findings-emnlp)
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| Challenge: | Existing studies on storytelling with sound have focused on visuals and sounds, but little attention has been given to sound. |
| Approach: | They propose to establish a new component called background sound which is story context-based audio without any linguistic information. |
| Outcome: | The proposed dataset is the largest well-curated dataset for storytelling with sound . it contains 27,354 stories with 19.6 images per story and 984 hours of speech-decoupled audio . |
Stories and Personal Experiences in the COVID-19 Discourse (2024.lrec-main)
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| Challenge: | 'storytelling' is a human strategy to use personal experiences to back-up one's position in debates about controversial topics. |
| Approach: | They analyse the use of storytelling in the COVID-19 discourse by automatically annotating three publicly available Reddit datasets for a total of 367K comments. |
| Outcome: | The proposed analysis on three publicly available Reddit datasets shows that storytelling is a powerful argumentative tool. |