Book contents
- Frontmatter
- Contents
- List of Contributors
- Introduction and Overview
- Part One Foundational Components of Storylines
- Part Two Connecting the Dots: Resources, Tools, and Representations
- 7 The Richer Event Description Corpus for Event–Event Relations
- 8 Low-Resource Event Extraction via Share-and-Transfer and Remaining Challenges
- 9 Reading Certainty across Sources
- 10 Narrative Homogeneity and Heterogeneity in Document Categories
- 11 Exploring Machine Learning Techniques for Linking Event Templates
- 12 Semantic Storytelling: From Experiments and Prototypes to a Technical Solution
- Author Index
12 - Semantic Storytelling: From Experiments and Prototypes to a Technical Solution
from Part Two - Connecting the Dots: Resources, Tools, and Representations
Published online by Cambridge University Press: 06 November 2021
- Frontmatter
- Contents
- List of Contributors
- Introduction and Overview
- Part One Foundational Components of Storylines
- Part Two Connecting the Dots: Resources, Tools, and Representations
- 7 The Richer Event Description Corpus for Event–Event Relations
- 8 Low-Resource Event Extraction via Share-and-Transfer and Remaining Challenges
- 9 Reading Certainty across Sources
- 10 Narrative Homogeneity and Heterogeneity in Document Categories
- 11 Exploring Machine Learning Techniques for Linking Event Templates
- 12 Semantic Storytelling: From Experiments and Prototypes to a Technical Solution
- Author Index
Summary
In the past we experimented with variations of an approach we call semantic storytelling, in which we use multiple text analytics components including named entity recognition and event detection. This chapter summarizes some of our previous work with an emphasis on the detection of movement action events, and describes the long-term semantic storytelling vision as well as the setup and approach of our future work towards a robust technical solution, which is primarily driven by three industry use cases. Ultimately, we plan to contribute an implemented approach for semantic storytelling that makes use of various analytics services and that can be deployed in a flexible way in various industrial production environments.
- Type
- Chapter
- Information
- Computational Analysis of StorylinesMaking Sense of Events, pp. 240 - 259Publisher: Cambridge University PressPrint publication year: 2021