Extracting Social Networks from Literary Fiction
David K. Elson,Nicholas Dames,Kathleen R. McKeown +2 more
- pp 138-147
TLDR
The method involves character name chunking, quoted speech attribution and conversation detection given the set of quotes, which provides evidence that the majority of novels in this time period do not fit two characterizations provided by literacy scholars.Abstract:
We present a method for extracting social networks from literature, namely, nineteenth-century British novels and serials. We derive the networks from dialogue interactions, and thus our method depends on the ability to determine when two characters are in conversation. Our approach involves character name chunking, quoted speech attribution and conversation detection given the set of quotes. We extract features from the social networks and examine their correlation with one another, as well as with metadata such as the novel's setting. Our results provide evidence that the majority of novels in this time period do not fit two characterizations provided by literacy scholars. Instead, our results suggest an alternative explanation for differences in social networks.read more
Citations
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Modelling Conflicts Between Characters in Present-Day Dutch Literary Fiction
TL;DR: Van der Deijl et al. as discussed by the authors modeled conflicts between characters in 170 novels submitted to the Libris Literatuurprijs, one of the most prestigious literary prizes in the Dutch language area.
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Evaluating social network extraction for classic and modern fiction literature
TL;DR: A study to compare classic literature to modern literature in terms of performance of natural language processing tools for the automatic extraction of social networks as well as their network structure finds that there are no significant differences between the two sets of novels but that both are subject to a high amount of variance.
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Twenty Thousand Leagues Above the Book: An Interactive Visual Analytics Approach to Literature
TL;DR: A novel tool for the digital humanities that leverages temporal data mining, network science, and visual analytics is presented that facilitates a new collaborative methodological practice that is a hybrid of close and distant reading.
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Analysis of a Play by Means of CHAPLIN, the Characters and Places Interaction Network Software
TL;DR: This paper proposes to use CHAPLIN for the analysis a William Shakespeare's play, the famous 'Tragedy of Hamlet, Prince of Denmark', where performances of characters in the play as a whole and in each act of it are given by graphs.
References
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Journal ArticleDOI
A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
Proceedings ArticleDOI
Incorporating Non-local Information into Information Extraction Systems by Gibbs Sampling
TL;DR: By using simulated annealing in place of Viterbi decoding in sequence models such as HMMs, CMMs, and CRFs, it is possible to incorporate non-local structure while preserving tractable inference.
Book
The Country and the City
TL;DR: As a brilliant survey of English literature in terms of changing attitudes towards country and city, Williams' highly-acclaimed study reveals the shifting images and associations between these two traditional poles of life throughout the major developmental periods of English culture.
Proceedings Article
The Automatic Content Extraction (ACE) Program Tasks, Data, and Evaluation
George R. Doddington,Alexis Mitchell,Mark A. Przybocki,Lance Ramshaw,Stephanie Strassel,Ralph Weischedel +5 more
TL;DR: The objective of the ACE program is to develop technology to automatically infer from human language data the entities being mentioned, the relations among these entities that are directly expressed, and the events in which these entities participate.
Book
Graphs, Maps, Trees: Abstract Models for a Literary History
TL;DR: MoreMoretti as discussed by the authors argues that literature scholars should stop reading books and start counting, graphing, and mapping them instead, and offers charts, maps and time lines, developing the idea of "distant reading" into a full-blown experiment in literary history.