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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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Book ChapterDOI

Automatic identification of protagonist in fairy tales using verb

TL;DR: In this paper, the authors used verb as a determinant in substantiating the existence of protagonist with the assistance of WordNet and the experimental results show that it is viable to use verb in identifying named entity, particularly "people" category and it can be applied in a small text size environment.
Dissertation

Demography of Literary Form: Probabilistic Models for Literary History

Allen Riddell
TL;DR: Demography of Literary Form: Probabilistic Models for Literary History as discussed by the authors ) is a probabilistic model for the history of the literary form and its evolution in the literature.

Once Upon a Genre: Distant Reading, the Newbery Medal, and the Affordances of Interdisciplinary Paradigms for Understanding Children’s Literature

TL;DR: For instance, the authors analyzed the Newbery Medal-winning texts in order to identify patterns of change in the genre of 20th century American children's literature, seeking to animate this corpus of texts in different ways than is possible through microscopic analysis alone.
Proceedings Article

Towards a model of formal and informal address in English

TL;DR: The study investigates the status of the T/V distinction in English literary texts to find that human raters can label monolingual English utterances as T or V fairly well, given sufficient context and there is a marked asymmetry between lexical features for formal speech and informal speech.
Posted Content

An Annotated Dataset of Coreference in English Literature

TL;DR: This article presented a new dataset of coreference annotations for works of literature in English, covering 29,103 mentions in 210,532 tokens from 100 works of fiction, and analyzed the characteristics of long-distance within-document coreference.
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.