[PDF] Top 20 A Semantically Based Computational Approach to Narrative Structure
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A Semantically Based Computational Approach to Narrative Structure
... define narrative structure as characterized by a basic element, the narreme, which is here described as the basic unit of narrative structure, the smallest possible unit of the ... See full document
10
A Proactive Approach to Semantically Oriented Service Discovery
... stream based OWL-S reader imported from the OWL-S API ...filters based on parsed service inputs, outputs their sub-classes and super ...class structure for a service that has an input book and an ... See full document
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A Computational Model for The Portrayal of Personality Traits in Planning-Based Narrative Generation.
... in narrative variations that emerge when operations such as re-planning and action repair occur to address the effects of user ...categorized based on various factors, such as personality traits and ... See full document
250
A Computational Model of Narrative Generation for Suspense
... My approach attempts to manipulate the level of suspense experienced by a story’s reader by elaborating on the story structure—making decisions regarding what story elements to tell and when to tell ... See full document
150
Discovering Temporal Narrative Containers in Clinical Text
... this approach on the Time- Bank (Pustejovsky et ...token- based information (words, part of speech tags) be- tween the event and time, and found that adding such tree kernels on top of a baseline set of ... See full document
9
A New Formalist approach to narrative Christology: Returning to the structure of the Synoptic Gospels
... Gospel narrative determines the meaning and significance of the word [κύριος]’ (Rowe ...are based in part on his view of Luke’s sequential narrative ...Gospel narrative (as opposed to Hans ... See full document
11
A proactive approach to semantically oriented service discovery
... tree structure and subscription forwarding architecture at the design ...ontology based subscriptions in such a manner is the preservation of the covering relation between ...tree structure must be ... See full document
8
Computational Approach in Complex Structure Prediction for Drug Design Activity
... is based on multidisciplinary approach in the fields of computer science (or information technology), bioinformatics and cheminformatics and its effect on modern drug related ...The computational ... See full document
6
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables
... novel approach for table data annota- tion that combines a latent probabilistic model with multi- label ...functions based on multi-label classifiers reducing the computational cost for ...proposed ... See full document
8
Semantically Enchanced Personalised Adaptive E-Learning for General and Dyslexia Learners: An Ontology Based Approach
... which we may highlight the size and heterogeneity of the content or the need for simple ways of interaction with users, keep this line of research open to further improvements. The paper also discusses a theoretical ... See full document
7
A semantically based approach to the annotation of narrative style
... personal approach to the evaluation is as important, however, particularly in a novel like The Solid Mandala in which the protagonists are rarely socially accepted themselves, and were raised in a rather closed ... See full document
12
A Semantically Enhanced Approach to Determine Textual Similarity
... When training data is available (MSRpar, MSRvid, SMTeuroparl), LFT-scores + features al- ways outperforms the scores obtained with a single logic form transformation in an unsupervised man- ner. In other words, combining ... See full document
11
Narrative structure and narrative texture in the 'Aithiopika' of Heliodorus
... acceptable form , not just at this point, but repeatedly; in other words, it is the nostos theme which stands behind Charikleia. But this passage is equally revealing about Theagenes. His response is not given in fu ll, ... See full document
226
Narrative Visualization: Sharing Insights into Complex Data
... of narrative visualization, a creative response to the need to share complex data engagingly with the ...how narrative visualization offers authors the opportunity to communicate more effectively with their ... See full document
5
Clustering-based fragmentation and data replication for flexible query answering in distributed databases
... In the era of “big data” huge data sets usually cannot be stored on a single server any longer. Cloud storage (where data are stored in a cloud infrastructure) offers the advan- tage of flexibly adapting the amount of ... See full document
15
TopFed: TCGA tailored federated query processing and linking to LOD
... TopFed is devised to address these requirements. Whereas requirements 1 and 2 are addressed using RDF and class level connectivity (see section TCGA Data Work flow), addressing requirements 3 and 4 relies on tech- niques ... See full document
18
C$\emptyset$C$\emptyset$: A Framework for Building Composable Zero-Knowledge Proofs
... The hardness of discrete-log in extension fields has been studied for quite some time; recently quasi- polynomial time algorithms [40,57] have been designed for the special case of fixed-sized, i.e., small, ... See full document
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A Computational Model of Narrative Generation for Surprise Arousal
... in narrative as a ...In narrative, typical writers write their story with variance in temporal order, maintaining coherence as a whole, to evoke more interest to a reader: some story events are told ahead ... See full document
159
Incremental Deterministic Public-Key Encryption
... standard approach for formalizing the security of deterministic public-key encryption schemes introduced by Bellare, Boldyreva and O’Neill [BBO07] and further studied by Bellare, Fischlin, O’Neill and Ristenpart ... See full document
21
NASARI: a Novel Approach to a Semantically Aware Representation of Items
... In this task, we assess the performance of dif- ferent systems in terms of Pearson correlation. We compare our system against six similarity measures that have reported best performance on the three datasets. Lin (Lin, ... See full document
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