A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Introduction and Overview Tommaso Caselli Martha Palmer Ed Hovy and Piek Vossen; Part I. Foundational Components of Storylines: 1. The Role of Event-Based Representations and Reasoning in Language James Pustejovsky; 2. The Rich Event Ontology - Ontological Hub for Event Representations Claire Bonial Susan W. Brown Martha Palmer and Ghazaleh Kazeminejad; 3. Decomposing Events and Storylines William Croft Pavlìna Kalm and Michael Regan; 4. Extracting and Aligning Timelines Mark Finalyson Andres Cremisini and Mustafa Ocal; 5. Event Causality Paramita Mirza; 6. A Narratology-Based Framework for Storyline Extraction Piek Vossen Tommaso Caselli and Roxane Segers; Part II. Connecting the Dots: 7. The Richer Event Description Corpus for Event-Event Relations Tim O'Gorman Kristin Wright-Bettner and Martha Palmer; 8. Low-Resource Event Extraction via Share-and-Transfer and Remaining Challenges Heng Ji and Clare Voss; 9. Reading Certainty across Sources Ben Miller; 10. Narrative Homogeneity and Heterogeneity in Document Categories Dan Simonson and Tony Davis; 11. Exploring Machine-Learning Techniques for Linking Event Templates Jakub Piskorski Fredi ari¿ Vanni Zavarella and Martin Atkinson; 12. Semantic Storytelling - from Experiments and Prototypes to a Technical Solution Georg Rehm Karolina Zaczynska Peter Bourgonje Malte Ostendorff Julián Moreno-Schneider Maria Berger Jens Rauenbusch André Schmidt Mikka Wild Joachim Böttger Joachim Quantz Jan Thomsen and Rolf Fricke.
Introduction and Overview Tommaso Caselli Martha Palmer Ed Hovy and Piek Vossen; Part I. Foundational Components of Storylines: 1. The Role of Event-Based Representations and Reasoning in Language James Pustejovsky; 2. The Rich Event Ontology - Ontological Hub for Event Representations Claire Bonial Susan W. Brown Martha Palmer and Ghazaleh Kazeminejad; 3. Decomposing Events and Storylines William Croft Pavlìna Kalm and Michael Regan; 4. Extracting and Aligning Timelines Mark Finalyson Andres Cremisini and Mustafa Ocal; 5. Event Causality Paramita Mirza; 6. A Narratology-Based Framework for Storyline Extraction Piek Vossen Tommaso Caselli and Roxane Segers; Part II. Connecting the Dots: 7. The Richer Event Description Corpus for Event-Event Relations Tim O'Gorman Kristin Wright-Bettner and Martha Palmer; 8. Low-Resource Event Extraction via Share-and-Transfer and Remaining Challenges Heng Ji and Clare Voss; 9. Reading Certainty across Sources Ben Miller; 10. Narrative Homogeneity and Heterogeneity in Document Categories Dan Simonson and Tony Davis; 11. Exploring Machine-Learning Techniques for Linking Event Templates Jakub Piskorski Fredi ari¿ Vanni Zavarella and Martin Atkinson; 12. Semantic Storytelling - from Experiments and Prototypes to a Technical Solution Georg Rehm Karolina Zaczynska Peter Bourgonje Malte Ostendorff Julián Moreno-Schneider Maria Berger Jens Rauenbusch André Schmidt Mikka Wild Joachim Böttger Joachim Quantz Jan Thomsen and Rolf Fricke.
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