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Language, Culture, Computation. Computing of the Humanities, Law, and Narratives

Overview of attention for book
Cover of 'Language, Culture, Computation. Computing of the Humanities, Law, and Narratives'

Table of Contents

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    Book Overview
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    Chapter 1 The Responsa Project: Some Promising Future Directions
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    Chapter 2 The Historical Significance of the Cambridge Genizah Inventory Project
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    Chapter 3 The Princeton University Geniza Project: Using the Internet for Jewish and Islamic Research
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    Chapter 4 Design and Evaluation of a Visitor Guide in an Active Museum
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    Chapter 5 Judaica Europeana: Jewish Semantics in the Linked Data Semantic Web
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    Chapter 6 Paradise Lost and Milton’s Associative Memory
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    Chapter 7 Special Effects; or, The Tooling Is Here. Where Are the Results?
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    Chapter 8 Representation and Management of Complex ‘Narrative’ Information
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    Chapter 9 Tale Variants and Analysis in Episodic Formulae: Early Ottoman, Elizabethan, and “Solomonic” Versions
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    Chapter 10 On Chance, Causality, Agency, Volition, and Communication: The Case of the Subversive Parrot of Sfakion
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    Chapter 11 Narratives, Formalism, Computational Tools, and Nonlinearity
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    Chapter 12 Review of Ontology Based Storytelling Devices
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    Chapter 13 When Being Numerate Used to Mean Something Else
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    Chapter 14 Risks to Consider When Negotiating IT Outsourcing Agreements
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    Chapter 15 There Is More to Legal Reasoning with Analogies than Case Based Reasoning, But What?
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    Chapter 16 A Quarter of Century in Artificial Intelligence and Law: Projects, Personal Trajectories, a Subjective Perspective
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    Chapter 17 Simplification and Quality of the Legal System
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    Chapter 18 The Digesto Jurídico Argentino: Considerations Concerning a Large Juridical Project
Overall attention for this book and its chapters
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Mentioned by

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2 X users

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28 Mendeley
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Title
Language, Culture, Computation. Computing of the Humanities, Law, and Narratives
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-642-45324-3
ISBNs
978-3-64-245323-6, 978-3-64-245324-3
Editors

Nachum Dershowitz, Ephraim Nissan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Student > Master 1 4%
Unknown 26 93%
Readers by discipline Count As %
Computer Science 2 7%
Unknown 26 93%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2020.
All research outputs
#15,459,013
of 22,971,207 outputs
Outputs from Lecture notes in computer science
#4,661
of 8,141 outputs
Outputs of similar age
#191,469
of 306,477 outputs
Outputs of similar age from Lecture notes in computer science
#164
of 280 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,141 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 306,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.