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Open AccessProceedings ArticleDOI

Extracting Social Networks from Literary Fiction

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.

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Proceedings ArticleDOI

Automatic Alignment and Annotation Projection for Literary Texts.

TL;DR: A modular NLP pipeline for the creation of a parallel literature corpus, followed by annotation transfer from the source to the target language, and shows that after applying a reasonable amount of semi-automatic postprocessing the authors can obtain high-quality aligned and annotated resources for a new language.
Journal ArticleDOI

Measuring centrality in film narratives using dynamic character interaction networks

TL;DR: A directed dynamic measure of relative character importance based on character interactions is suggested and illustrated through an examination of gender in the 2015 film Star Wars: The Force Awakens, finding that the measure helps illuminate important narrative dynamics which cannot be captured by static measures.

Automatic Methods for Tracking Sentiment Dynamics in Plays

TL;DR: In this paper, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in the context of health care, and propose a solution.
Book ChapterDOI

Modeling Long Novels: Network Analysis and A Brief History of Seven Killings

TL;DR: In this article, the authors compare a small set of contemporary U.S. novels to one another and find that Marlon James's A Brief History of Seven Killings emerges as an outlier in this discussion because of its high character co-occurrence value.
Dissertation

Information Extraction from TV Series Scripts for Uptake Prediction

Junshu Wang
TL;DR: This study aims to extract features from scripts of pilot episodes, which are the first episodes of television series, which will be exploited to construct predictive models for uptake of the television series.
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

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.