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Extracting social networks from literary fiction
David K. Elson, Nicholas Dames, and Kathleen R. McKeown · 2010
Earlier work this paper cites.
Annotation of interpersonal relations in Swedish prose fiction
Dimitrios Kokkinakis · 2013
Earlier work this paper cites.

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A Bayesian mixed effects model of literary character
David Bamman, Ted Underwood, and Noah A. Smith · 2014
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Extracting family relationship networks from novels
Original
Aibek Makazhanov, Denilson Barbosa, and Grzegorz Kondrak · 2014
Cited alongside, same era.

Then

Personality profiling of fictional characters using sense-level links between lexical resources
Lucie Flekova and Iryna Gurevych · 2015
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Mr. Bennet, his coachman, and the Archbishop walk into a bar but only one of them gets recognized: On the difficulty of detecting characters in literary texts
Hardik Vala, David Jurgens, Andrew Piper, and Derek Ruths · 2015
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2015

Annotating Character Relationships in Literary Texts

Massey, Philip, Xia, Patrick, Bamman, David et al.

Understand

We present a dataset of manually annotated relationships between characters in literary texts, in order to support the training and evaluation of automatic methods for relation type prediction in this domain (Makazhanov et al., 2014; Kokkinakis, 2013) and the broader computational analysis of literary character (Elson et al., 2010; Bamman et al., 2014; Vala et al., 2015; Flekova and Gurevych, 2015).

In this work, we solicit annotations from workers on Amazon Mechanical Turk for 109 texts ranging from Homer's _Iliad_ to Joyce's _Ulysses_ on four dimensions of interest: for a given pair of characters, we collect judgments as to the coarse-grained category (professional, social, familial), fine-grained category (friend, lover, parent, rival, employer), and affinity (positive, negative, neutral) that describes their primary relationship in a text.
We do not assume that this relationship is static; we also collect judgments as to whether it changes at any point in the course of the text.