Papers by Michael Raring
Semantic Relations between Text Segments for Semantic Storytelling: Annotation Tool - Dataset - Evaluation (2022.lrec-1)
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| Challenge: | Semantic Storytelling is the goal of the future to generate stories based on extracted, processed, classified and annotated information from large content resources. |
| Approach: | They propose to create an automatic classifier for semantic relations between extracted text segments from different news articles. |
| Outcome: | The proposed method has high accuracy scores and is validated by a trained model. |