Story summarization is a relatively unexplored field. This research aims to create a story summarization system using a story world graph for knowledge representation. The summarization system would take a story as input and extract information from the sentences to transform them into nodes and edges in the story world graph. The system would then use the data in the story world graph to look for events and event chains, and use natural language generation techniques to generate a summary. The resulting story summary would not be more than half the length of the original story
This dissertation provides a new method for sentence embedding and document summarization. The topic...
This article represents an extended abstract of our previous work on multimedia summarization. In pa...
Abstract: The rapid development of technologies produce enormous amount of data which have lot of h...
Story summarization is a relatively unexplored field. This research aims to create a story summariza...
Neural network based approaches to automated story plot generation attempt to learn how to generate ...
Automated story generation is a popular and well-recognized task in the field of natural language pr...
Abstract This paper examines the development of an automatic summarizer for storytelling. The appro...
A summary is a shortened version of a text that contains the main points of the original content. Au...
Story generation is the problem of automatically selecting a sequence of events that meet a set of c...
Winbladh, KristinaIn computer science, particularly in the fields of interactive storytelling and g...
We present an extraction based method for automatic summarization. It is based on finding the shorte...
Automated story generation is the problem of automatically selecting a sequence of events, actions, ...
Large transformer-based language models have achieved incredible success at various tasks which requ...
This demo presents a Natural Language Gener-ation (NLG) system that generates summaries of informati...
Stories are diverse and highly personalized, resulting in a large possible output space for story ge...
This dissertation provides a new method for sentence embedding and document summarization. The topic...
This article represents an extended abstract of our previous work on multimedia summarization. In pa...
Abstract: The rapid development of technologies produce enormous amount of data which have lot of h...
Story summarization is a relatively unexplored field. This research aims to create a story summariza...
Neural network based approaches to automated story plot generation attempt to learn how to generate ...
Automated story generation is a popular and well-recognized task in the field of natural language pr...
Abstract This paper examines the development of an automatic summarizer for storytelling. The appro...
A summary is a shortened version of a text that contains the main points of the original content. Au...
Story generation is the problem of automatically selecting a sequence of events that meet a set of c...
Winbladh, KristinaIn computer science, particularly in the fields of interactive storytelling and g...
We present an extraction based method for automatic summarization. It is based on finding the shorte...
Automated story generation is the problem of automatically selecting a sequence of events, actions, ...
Large transformer-based language models have achieved incredible success at various tasks which requ...
This demo presents a Natural Language Gener-ation (NLG) system that generates summaries of informati...
Stories are diverse and highly personalized, resulting in a large possible output space for story ge...
This dissertation provides a new method for sentence embedding and document summarization. The topic...
This article represents an extended abstract of our previous work on multimedia summarization. In pa...
Abstract: The rapid development of technologies produce enormous amount of data which have lot of h...