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- peerj-cs.189 type Article assertion.
- author-list _1 niels-dekker assertion.
- author-list _2 0000-0002-1267-0234 assertion.
- author-list _3 0000-0001-9195-8203 assertion.
- 008xxew50 name "Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands" assertion.
- 043c0p156 name "KNAW Humanities Cluster, Amsterdam, Netherlands" assertion.
- 0000-0002-1267-0234 name "Tobias Kuhn" assertion.
- niels-dekker name "Niels Dekker" assertion.
- 0000-0001-9195-8203 name "Marieke van Erp" assertion.
- peerj-cs.189 title "Evaluating named entity recognition tools for extracting social networks from novels" assertion.
- 2376-5992 title "PeerJ Computer Science" assertion.
- peerj-cs.189 date "2019-04-18" assertion.
- peerj-cs.189 isPartOf 2376-5992 assertion.
- peerj-cs.189 abstract "The analysis of literary works has experienced a surge in computer-assisted processing. To obtain insights into the community structures and social interactions portrayed in novels, the creation of social networks from novels has gained popularity. Many methods rely on identifying named entities and relations for the construction of these networks, but many of these tools are not specifically created for the literary domain. Furthermore, many of the studies on information extraction from literature typically focus on 19th and early 20th century source material. Because of this, it is unclear if these techniques are as suitable to modern-day literature as they are to those older novels. We present a study in which we evaluate natural language processing tools for the automatic extraction of social networks from novels as well as their network structure. We find that there are no significant differences between old and modern novels but that both are subject to a large amount of variance. Furthermore, we identify several issues that complicate named entity recognition in our set of novels and we present methods to remedy these. We see this work as a step in creating more culturally-aware AI systems." assertion.
- niels-dekker affiliation 008xxew50 assertion.
- 0000-0002-1267-0234 affiliation 008xxew50 assertion.
- 0000-0001-9195-8203 affiliation 043c0p156 assertion.
- peerj-cs.189 authorList author-list assertion.