Assembling Narratives with Associative Threads
نویسندگان
چکیده
A model is proposed showing how automatically extracted and manually written association rules can be used to build the structure of a narrative from real-life temporal data. The generated text’s communicative goal is to help the reader construct a causal representation of the events. A connecting associative thread allows the reader to follow associations from the beginning to the end of the text. It is created using a spanning tree over a selected associative sub-network. The results of a text quality evaluation show that the texts were understandable, but that flow between sentences, although not bad, could still be improved.
منابع مشابه
Multiple Narrative Disentanglement: Unraveling Infinite Jest
Many works (of both fiction and non-fiction) span multiple, intersecting narratives, each of which constitutes a story in its own right. In this work I introduce the task of multiple narrative disentanglement (MND), in which the aim is to tease these narratives apart by assigning passages from a text to the sub-narratives to which they belong. The motivating example I use is David Foster Wallac...
متن کاملPerformances of a Dynamic Threads Scheduler
This paper presents the design and development of a dynamic scheduler of parallel threads in the Multithreaded multiProcessor Architecture (MPA). The scheduler relies on an onchip associative memory whose management time is overlapped with the execution of ready threads. The scheduler efficiently assigns resources to threads, and permits them to communicate with great flexibility. The results a...
متن کاملModeling Reportable Events as Turning Points in Narrative
We present novel experiments in modeling the rise and fall of story characteristics within narrative, leading up to the Most Reportable Event (MRE), the compelling event that is the nucleus of the story. We construct a corpus of personal narratives from the bulletin board website Reddit, using the organization of Reddit content into topic-specific communities to automatically identify narrative...
متن کاملRelating the power of the Multiple Associative Computing (MASC) model to that of reconfigurable bus-based models
The MASC (Multiple ASsociative Computing) model is a multi-SIMD model that uses control parallelism to coordinate the interaction of data parallel threads and supports associative SIMD computing on each of its threads. There have been a wide range of algorithms developed for this model. Research on using this model in real-time systemapplications and building a scalableMASC architecture is curr...
متن کاملA Software Implementation of a Cycle Precision Simulator of a Multiple Associative Model
The Multiple Associative Computing (MASC) parallel model is a generalization model of an Associative Computing (ASC) parallel model designed to support multiple ASC data parallel threads by using control parallelism. The MASC model is designed to combine the advantages of both Single Instruction Stream Multiple Data Streams (SIMD) and Multiple Instruction Streams Multiple Data Streams (MIMD) mo...
متن کامل