Centering: a framework for modeling the local coherence of discourse
Computational Linguistics
Building natural language generation systems
Building natural language generation systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artificial Intelligence
Automatic Short Story Generator Based on Autonomous Agents
Proceedings of the 5th Pacific Rim International Workshop on Multi Agents: Intelligent Agents and Multi-Agent Systems
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Ghostwriter: a narrative virtual environment for children
Proceedings of the 2003 conference on Interaction design and children
A fast and portable realizer for text generation systems
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Two-level, many-paths generation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Comlex Syntax: building a computational lexicon
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Trainable sentence planning for complex information presentation in spoken dialog systems
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Collective content selection for concept-to-text generation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Modeling local coherence: An entity-based approach
Computational Linguistics
Designing a story database for use in automatic story generation
ICEC'06 Proceedings of the 5th international conference on Entertainment Computing
Plot induction and evolutionary search for story generation
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Spatial role labeling: Towards extraction of spatial relations from natural language
ACM Transactions on Speech and Language Processing (TSLP)
Skip n-grams and ranking functions for predicting script events
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Automatic metrics for genre-specific text quality
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
Search beyond the web: data from social networks and native apps
Proceedings of the twelfth international workshop on Web information and data management
Extracting narrative timelines as temporal dependency structures
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story generators rely on a large repository of background knowledge containing information about the story plot and its characters. This information is detailed and usually hand crafted. In this paper we propose a data-driven approach for generating short children's stories that does not require extensive manual involvement. We create an end-to-end system that realizes the various components of the generation pipeline stochastically. Our system follows a generate-and-and-rank approach where the space of multiple candidate stories is pruned by considering whether they are plausible, interesting, and coherent.